> skip_if_not(TEST_ALL)
> set.seed(123)
> cat("Recipe Specification", "\n")
Recipe Specification 

> test_predict_all(rec, model = CoxModel())
Model: CoxModel 

Predicted means (distr = emp)
--- SurvMeans object -----------------------------------------------------------
 [1] 1645.164 4220.353 5067.247 4033.989 1032.844 3726.738 1828.670 3774.468
 [9] 1326.648 2415.216
... with 195 more values
Distribution: empirical
  C-Index 
0.7370791 

Predicted probabilities (distr = emp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.7007254 0.3067131 0.09605034
 [2,] 0.9365220 0.8041738 0.64918106
 [3,] 0.9786040 0.9306482 0.86720254
 [4,] 0.9260406 0.7746520 0.60278882
 [5,] 0.5553683 0.1416462 0.02076585
 [6,] 0.9075460 0.7244213 0.52777255
 [7,] 0.7299891 0.3513823 0.12576352
 [8,] 0.9105271 0.7323592 0.53929872
 [9,] 0.6373755 0.2238600 0.05145108
[10,] 0.8026043 0.4815531 0.23489529
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16795423     0.07537472     0.16062520     0.20938345     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.76338256     0.90690244 
Accuracy.time2 Accuracy.time3 
    0.78205568     0.69477073 

Predicted means (distr = exp)
--- SurvMeans object -----------------------------------------------------------
 [1]  1626.1482  8818.2639 26739.2056  7526.5948   983.3342  5961.4068
 [7]  1837.5436  6169.9809  1284.0295  2630.0111
... with 195 more values
Distribution: exponential
  C-Index 
0.7370791 

Predicted probabilities (distr = exp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6383213 0.3255354 0.10597332
 [2,] 0.9205511 0.8130547 0.66105802
 [3,] 0.9730686 0.9340252 0.87240311
 [4,] 0.9075656 0.7846845 0.61572979
 [5,] 0.4759834 0.1563074 0.02443201
 [6,] 0.8847463 0.7362866 0.54211800
 [7,] 0.6721529 0.3703993 0.13719563
 [8,] 0.8884163 0.7439459 0.55345549
 [9,] 0.5663615 0.2413983 0.05827315
[10,] 0.7576260 0.4996170 0.24961718
... with 195 more rows
Times: 730, 1825, 3650
Distribution: exponential
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16776313     0.07512325     0.16016220     0.20937964     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.74755811     0.90694375 
Accuracy.time2 Accuracy.time3 
    0.78708715     0.66008642 

Predicted means (distr = ray)
--- SurvMeans object -----------------------------------------------------------
 [1]  3510.491  8174.841 14235.149  7552.436  2729.847  6721.437  3731.699
 [8]  6838.009  3119.430  4464.436
... with 195 more values
Distribution: rayleigh
  C-Index 
0.7370791 

Predicted probabilities (distr = ray)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2     Time3
 [1,] 0.9666077 0.8087497 0.4278156
 [2,] 0.9937566 0.9616129 0.8550691
 [3,] 0.9979367 0.9871740 0.9496746
 [4,] 0.9926891 0.9551749 0.8323992
 [5,] 0.9453840 0.7039656 0.2455873
 [6,] 0.9907785 0.9437427 0.7932580
 [7,] 0.9703918 0.8287422 0.4717129
 [8,] 0.9910888 0.9455918 0.7994931
 [9,] 0.9579003 0.7642792 0.3411992
[10,] 0.9792198 0.8770030 0.5915674
... with 195 more rows
Times: 730, 1825, 3650
Distribution: rayleigh
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.21550209     0.09759478     0.21576571     0.26250684     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.70315461     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.73226261     0.60811080 

Predicted means (distr = wei)
--- SurvMeans object -----------------------------------------------------------
 [1]  1721.472  8557.779 24510.308  7364.007  1068.259  5902.986  1933.070
 [8]  6098.720  1375.913  2716.181
... with 195 more values
Distribution: weibull
  C-Index 
0.7370791 

Predicted probabilities (distr = wei)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6730275 0.3533327 0.11528186
 [2,] 0.9295828 0.8254333 0.67140149
 [3,] 0.9762067 0.9386912 0.87688143
 [4,] 0.9180067 0.7986996 0.62703249
 [5,] 0.5195369 0.1789896 0.02808187
 [6,] 0.8976167 0.7529288 0.55471236
 [7,] 0.7043951 0.3982556 0.14780810
 [8,] 0.9009002 0.7601866 0.56587374
 [9,] 0.6056387 0.2677943 0.06482988
[10,] 0.7828380 0.5255813 0.26295559
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16779907     0.07502924     0.15997392     0.20960209     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.74300723     0.90202231 
Accuracy.time2 Accuracy.time3 
    0.77238731     0.66177315 

Predicted means (method = bre)
--- SurvMeans object -----------------------------------------------------------
 [1]  1721.472  8557.779 24510.308  7364.007  1068.259  5902.986  1933.070
 [8]  6098.720  1375.913  2716.181
... with 195 more values
Distribution: weibull
  C-Index 
0.7370791 

Predicted probabilities (method = bre)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.7008656 0.3067745 0.09606956
 [2,] 0.9365565 0.8042035 0.64920501
 [3,] 0.9786159 0.9306596 0.86721309
 [4,] 0.9260807 0.7746855 0.60281488
 [5,] 0.5555521 0.1416930 0.02077272
 [6,] 0.9075955 0.7244608 0.52780135
 [7,] 0.7301184 0.3514445 0.12578579
 [8,] 0.9105751 0.7323979 0.53932716
 [9,] 0.6375370 0.2239167 0.05146411
[10,] 0.8027036 0.4816127 0.23492435
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16795403     0.07537741     0.16062322     0.20938317     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.76338256     0.90690244 
Accuracy.time2 Accuracy.time3 
    0.78205568     0.69477073 

Predicted means (method = efr)
--- SurvMeans object -----------------------------------------------------------
 [1]  1721.472  8557.779 24510.308  7364.007  1068.259  5902.986  1933.070
 [8]  6098.720  1375.913  2716.181
... with 195 more values
Distribution: weibull
  C-Index 
0.7370791 

Predicted probabilities (method = efr)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.7007254 0.3067131 0.09605034
 [2,] 0.9365220 0.8041738 0.64918106
 [3,] 0.9786040 0.9306482 0.86720254
 [4,] 0.9260406 0.7746520 0.60278882
 [5,] 0.5553683 0.1416462 0.02076585
 [6,] 0.9075460 0.7244213 0.52777255
 [7,] 0.7299891 0.3513823 0.12576352
 [8,] 0.9105271 0.7323592 0.53929872
 [9,] 0.6373755 0.2238600 0.05145108
[10,] 0.8026043 0.4815531 0.23489529
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16795423     0.07537472     0.16062520     0.20938345     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.76338256     0.90690244 
Accuracy.time2 Accuracy.time3 
    0.78205568     0.69477073 

Predicted events: 
--- SurvEvents object ----------------------------------------------------------
      Time1 Time2 Time3
 [1,]     0     1     1
 [2,]     0     0     0
 [3,]     0     0     0
 [4,]     0     0     0
 [5,]     0     1     1
 [6,]     0     0     0
 [7,]     0     1     1
 [8,]     0     0     0
 [9,]     0     1     1
[10,]     0     1     1
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.7633826      0.9069024      0.7820557      0.6947707 

> cat("Formula Specification", "\n")
Formula Specification 

> models <- c(CoxModel(), GBMModel(), CForestModel(), SurvRegModel(),
+ XGBDARTModel(), XGBLinearModel(updater = "coord_descent"), XGBTreeModel(),
+ XGBTreeModel(objective = "survival:aft"))
> for (model in models) {
+   test_predict_all(fo, df, model = model)
+ }
Model: CoxModel 

Predicted means (distr = emp)
--- SurvMeans object -----------------------------------------------------------
 [1] 1645.164 4220.353 5067.247 4033.989 1032.844 3726.738 1828.670 3774.468
 [9] 1326.648 2415.216
... with 195 more values
Distribution: empirical
  C-Index 
0.7370791 

Predicted probabilities (distr = emp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.7007254 0.3067131 0.09605034
 [2,] 0.9365220 0.8041738 0.64918106
 [3,] 0.9786040 0.9306482 0.86720254
 [4,] 0.9260406 0.7746520 0.60278882
 [5,] 0.5553683 0.1416462 0.02076585
 [6,] 0.9075460 0.7244213 0.52777255
 [7,] 0.7299891 0.3513823 0.12576352
 [8,] 0.9105271 0.7323592 0.53929872
 [9,] 0.6373755 0.2238600 0.05145108
[10,] 0.8026043 0.4815531 0.23489529
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16795423     0.07537472     0.16062520     0.20938345     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.76338256     0.90690244 
Accuracy.time2 Accuracy.time3 
    0.78205568     0.69477073 

Predicted means (distr = exp)
--- SurvMeans object -----------------------------------------------------------
 [1]  1626.1482  8818.2639 26739.2056  7526.5948   983.3342  5961.4068
 [7]  1837.5436  6169.9809  1284.0295  2630.0111
... with 195 more values
Distribution: exponential
  C-Index 
0.7370791 

Predicted probabilities (distr = exp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6383213 0.3255354 0.10597332
 [2,] 0.9205511 0.8130547 0.66105802
 [3,] 0.9730686 0.9340252 0.87240311
 [4,] 0.9075656 0.7846845 0.61572979
 [5,] 0.4759834 0.1563074 0.02443201
 [6,] 0.8847463 0.7362866 0.54211800
 [7,] 0.6721529 0.3703993 0.13719563
 [8,] 0.8884163 0.7439459 0.55345549
 [9,] 0.5663615 0.2413983 0.05827315
[10,] 0.7576260 0.4996170 0.24961718
... with 195 more rows
Times: 730, 1825, 3650
Distribution: exponential
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16776313     0.07512325     0.16016220     0.20937964     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.74755811     0.90694375 
Accuracy.time2 Accuracy.time3 
    0.78708715     0.66008642 

Predicted means (distr = ray)
--- SurvMeans object -----------------------------------------------------------
 [1]  3510.491  8174.841 14235.149  7552.436  2729.847  6721.437  3731.699
 [8]  6838.009  3119.430  4464.436
... with 195 more values
Distribution: rayleigh
  C-Index 
0.7370791 

Predicted probabilities (distr = ray)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2     Time3
 [1,] 0.9666077 0.8087497 0.4278156
 [2,] 0.9937566 0.9616129 0.8550691
 [3,] 0.9979367 0.9871740 0.9496746
 [4,] 0.9926891 0.9551749 0.8323992
 [5,] 0.9453840 0.7039656 0.2455873
 [6,] 0.9907785 0.9437427 0.7932580
 [7,] 0.9703918 0.8287422 0.4717129
 [8,] 0.9910888 0.9455918 0.7994931
 [9,] 0.9579003 0.7642792 0.3411992
[10,] 0.9792198 0.8770030 0.5915674
... with 195 more rows
Times: 730, 1825, 3650
Distribution: rayleigh
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.21550209     0.09759478     0.21576571     0.26250684     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.70315461     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.73226261     0.60811080 

Predicted means (distr = wei)
--- SurvMeans object -----------------------------------------------------------
 [1]  1721.472  8557.779 24510.308  7364.007  1068.259  5902.986  1933.070
 [8]  6098.720  1375.913  2716.181
... with 195 more values
Distribution: weibull
  C-Index 
0.7370791 

Predicted probabilities (distr = wei)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6730275 0.3533327 0.11528186
 [2,] 0.9295828 0.8254333 0.67140149
 [3,] 0.9762067 0.9386912 0.87688143
 [4,] 0.9180067 0.7986996 0.62703249
 [5,] 0.5195369 0.1789896 0.02808187
 [6,] 0.8976167 0.7529288 0.55471236
 [7,] 0.7043951 0.3982556 0.14780810
 [8,] 0.9009002 0.7601866 0.56587374
 [9,] 0.6056387 0.2677943 0.06482988
[10,] 0.7828380 0.5255813 0.26295559
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16779907     0.07502924     0.15997392     0.20960209     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.74300723     0.90202231 
Accuracy.time2 Accuracy.time3 
    0.77238731     0.66177315 

Predicted means (method = bre)
--- SurvMeans object -----------------------------------------------------------
 [1]  1721.472  8557.779 24510.308  7364.007  1068.259  5902.986  1933.070
 [8]  6098.720  1375.913  2716.181
... with 195 more values
Distribution: weibull
  C-Index 
0.7370791 

Predicted probabilities (method = bre)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.7008656 0.3067745 0.09606956
 [2,] 0.9365565 0.8042035 0.64920501
 [3,] 0.9786159 0.9306596 0.86721309
 [4,] 0.9260807 0.7746855 0.60281488
 [5,] 0.5555521 0.1416930 0.02077272
 [6,] 0.9075955 0.7244608 0.52780135
 [7,] 0.7301184 0.3514445 0.12578579
 [8,] 0.9105751 0.7323979 0.53932716
 [9,] 0.6375370 0.2239167 0.05146411
[10,] 0.8027036 0.4816127 0.23492435
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16795403     0.07537741     0.16062322     0.20938317     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.76338256     0.90690244 
Accuracy.time2 Accuracy.time3 
    0.78205568     0.69477073 

Predicted means (method = efr)
--- SurvMeans object -----------------------------------------------------------
 [1]  1721.472  8557.779 24510.308  7364.007  1068.259  5902.986  1933.070
 [8]  6098.720  1375.913  2716.181
... with 195 more values
Distribution: weibull
  C-Index 
0.7370791 

Predicted probabilities (method = efr)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.7007254 0.3067131 0.09605034
 [2,] 0.9365220 0.8041738 0.64918106
 [3,] 0.9786040 0.9306482 0.86720254
 [4,] 0.9260406 0.7746520 0.60278882
 [5,] 0.5553683 0.1416462 0.02076585
 [6,] 0.9075460 0.7244213 0.52777255
 [7,] 0.7299891 0.3513823 0.12576352
 [8,] 0.9105271 0.7323592 0.53929872
 [9,] 0.6373755 0.2238600 0.05145108
[10,] 0.8026043 0.4815531 0.23489529
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16795423     0.07537472     0.16062520     0.20938345     0.77835364 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82155188     0.77578548     0.76261524     0.76338256     0.90690244 
Accuracy.time2 Accuracy.time3 
    0.78205568     0.69477073 

Predicted events: 
--- SurvEvents object ----------------------------------------------------------
      Time1 Time2 Time3
 [1,]     0     1     1
 [2,]     0     0     0
 [3,]     0     0     0
 [4,]     0     0     0
 [5,]     0     1     1
 [6,]     0     0     0
 [7,]     0     1     1
 [8,]     0     0     0
 [9,]     0     1     1
[10,]     0     1     1
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.7633826      0.9069024      0.7820557      0.6947707 
Model: GBMModel 

Predicted means (distr = emp)
--- SurvMeans object -----------------------------------------------------------
 [1] 1185.480 4428.021 5058.944 3508.624 2172.164 3344.931 1161.521 3726.794
 [9] 2584.799 2447.173
... with 195 more values
Distribution: empirical
 C-Index 
0.777882 

Predicted probabilities (distr = emp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6021981 0.1878479 0.03339754
 [2,] 0.9480782 0.8387950 0.69951852
 [3,] 0.9784293 0.9306275 0.86402082
 [4,] 0.8941629 0.6915475 0.47246834
 [5,] 0.7766712 0.4346251 0.18378935
 [6,] 0.8829074 0.6632598 0.43400944
 [7,] 0.5954813 0.1810282 0.03097886
 [8,] 0.9082727 0.7281823 0.52474306
 [9,] 0.8206306 0.5211313 0.26581491
[10,] 0.8070003 0.4931341 0.23758872
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.15775658     0.07789872     0.15175113     0.19330299     0.81757712 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84027296     0.82907755     0.80159853     0.76991914     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.80103443     0.70037676 

Predicted means (distr = exp)
--- SurvMeans object -----------------------------------------------------------
 [1]  1133.815 10784.965 26369.661  5140.340  2275.223  4617.466  1109.283
 [8]  5976.845  2908.889  2681.679
... with 195 more values
Distribution: exponential
 C-Index 
0.777882 

Predicted probabilities (distr = exp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.5252695 0.1999656 0.03998626
 [2,] 0.9345531 0.8443256 0.71288576
 [3,] 0.9726963 0.9331323 0.87073583
 [4,] 0.8676092 0.7011490 0.49160992
 [5,] 0.7255337 0.4483777 0.20104258
 [6,] 0.8537683 0.6735194 0.45362840
 [7,] 0.5178431 0.1929726 0.03723841
 [8,] 0.8850262 0.7368691 0.54297602
 [9,] 0.7780575 0.5339852 0.28514016
[10,] 0.7616886 0.5063416 0.25638184
... with 195 more rows
Times: 730, 1825, 3650
Distribution: exponential
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.15748929     0.07782316     0.15168757     0.19283677     0.81757712 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84027296     0.82907755     0.80159853     0.76582118     0.89714215 
Accuracy.time2 Accuracy.time3 
    0.79123276     0.69804585 

Predicted means (distr = ray)
--- SurvMeans object -----------------------------------------------------------
 [1]  924.0769 2850.0099 4456.4523 1967.5824 1309.0280 1864.8282  914.0251
 [8] 2121.6462 1480.1325 1421.1516
... with 195 more values
Distribution: rayleigh
 C-Index 
0.777882 

Predicted probabilities (distr = ray)
--- SurvProbs object -----------------------------------------------------------
          Time1      Time2        Time3
 [1,] 0.6125412 0.04672999 4.768509e-06
 [2,] 0.9497771 0.72466218 2.757671e-01
 [3,] 0.9791460 0.87659029 5.904548e-01
 [4,] 0.8975280 0.50880342 6.701933e-02
 [5,] 0.7832904 0.21727890 2.228795e-03
 [6,] 0.8866072 0.47132470 4.934928e-02
 [7,] 0.6059373 0.04366896 3.636566e-06
 [8,] 0.9112117 0.55926875 9.783229e-02
 [9,] 0.8260959 0.30299839 8.428714e-03
[10,] 0.8128318 0.27384477 5.623644e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: rayleigh
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.24050962     0.07805068     0.17666216     0.34380168     0.81757712 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84027296     0.82907755     0.80159853     0.69474010     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.74879282     0.58136365 

Predicted means (distr = wei)
--- SurvMeans object -----------------------------------------------------------
 [1]  1043.954  7909.572 17669.420  4062.846  1952.598  3689.330  1023.625
 [8]  4652.614  2435.225  2263.529
... with 195 more values
Distribution: weibull
 C-Index 
0.777882 

Predicted probabilities (distr = wei)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.5257347 0.1683550 0.02123853
 [2,] 0.9346401 0.8291894 0.66700924
 [3,] 0.9727334 0.9262539 0.84736678
 [4,] 0.8677786 0.6750362 0.42757317
 [5,] 0.7258539 0.4115323 0.14667406
 [6,] 0.8539540 0.6456547 0.38835297
 [7,] 0.5183120 0.1618503 0.01950418
 [8,] 0.8851749 0.7132045 0.48156322
 [9,] 0.7783260 0.4993458 0.22281953
[10,] 0.7619738 0.4708125 0.19620381
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.15938252     0.07781768     0.15219512     0.19632090     0.81757712 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84027296     0.82907755     0.80159853     0.79119741     0.89714215 
Accuracy.time2 Accuracy.time3 
    0.80593565     0.73997656 

Predicted means (method = bre)
--- SurvMeans object -----------------------------------------------------------
 [1]  1043.954  7909.572 17669.420  4062.846  1952.598  3689.330  1023.625
 [8]  4652.614  2435.225  2263.529
... with 195 more values
Distribution: weibull
 C-Index 
0.777882 

Predicted probabilities (method = bre)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6022917 0.1878771 0.03340273
 [2,] 0.9480937 0.8388087 0.69952996
 [3,] 0.9784359 0.9306337 0.86402660
 [4,] 0.8941936 0.6915712 0.47248455
 [5,] 0.7767313 0.4346588 0.18380359
 [6,] 0.8829411 0.6632852 0.43402601
 [7,] 0.5955760 0.1810569 0.03098378
 [8,] 0.9082995 0.7282038 0.52475853
 [9,] 0.8206803 0.5211629 0.26583102
[10,] 0.8070534 0.4931665 0.23760434
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.15775642     0.07789995     0.15175079     0.19330239     0.81757712 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84027296     0.82907755     0.80159853     0.76991914     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.80103443     0.70037676 

Predicted means (method = efr)
--- SurvMeans object -----------------------------------------------------------
 [1]  1043.954  7909.572 17669.420  4062.846  1952.598  3689.330  1023.625
 [8]  4652.614  2435.225  2263.529
... with 195 more values
Distribution: weibull
 C-Index 
0.777882 

Predicted probabilities (method = efr)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6021981 0.1878479 0.03339754
 [2,] 0.9480782 0.8387950 0.69951852
 [3,] 0.9784293 0.9306275 0.86402082
 [4,] 0.8941629 0.6915475 0.47246834
 [5,] 0.7766712 0.4346251 0.18378935
 [6,] 0.8829074 0.6632598 0.43400944
 [7,] 0.5954813 0.1810282 0.03097886
 [8,] 0.9082727 0.7281823 0.52474306
 [9,] 0.8206306 0.5211313 0.26581491
[10,] 0.8070003 0.4931341 0.23758872
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.15775658     0.07789872     0.15175113     0.19330299     0.81757712 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.84027296     0.82907755     0.80159853     0.76991914     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.80103443     0.70037676 

Predicted events: 
--- SurvEvents object ----------------------------------------------------------
      Time1 Time2 Time3
 [1,]     0     1     1
 [2,]     0     0     0
 [3,]     0     0     0
 [4,]     0     0     1
 [5,]     0     1     1
 [6,]     0     0     1
 [7,]     0     1     1
 [8,]     0     0     0
 [9,]     0     0     1
[10,]     0     1     1
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.7699191      0.8971021      0.8010344      0.7003768 
Model: CForestModel 

Predicted means (distr = emp)
--- SurvMeans object -----------------------------------------------------------
 [1] 1951.342 4303.322 3939.757 3139.444 1947.196 2342.725 2125.037 3008.617
 [9] 1813.860 1834.132
... with 195 more values
Distribution: empirical
  C-Index 
0.8139949 

Predicted probabilities (distr = emp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2     Time3
 [1,] 0.5434780 0.3720858 0.3235596
 [2,] 0.9169977 0.8402495 0.6755845
 [3,] 0.9949041 0.8676696 0.4757327
 [4,] 0.8989178 0.6769508 0.3907512
 [5,] 0.5979479 0.3121340 0.2286178
 [6,] 0.7414910 0.4667339 0.3583660
 [7,] 0.6309510 0.4381137 0.3313085
 [8,] 0.8515664 0.6675942 0.2798408
 [9,] 0.6006365 0.3225937 0.2523643
[10,] 0.6169238 0.3254542 0.2166348
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.11832408     0.06528219     0.12911202     0.13306807     0.89765996 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.91616059     0.88570193     0.89743453     0.82231504     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.82225415     0.79243673 

Predicted means (distr = exp)
--- SurvMeans object -----------------------------------------------------------
 [1] 1736.053 9692.281 8983.417 3959.862 1797.597 2923.985 2082.804 4334.745
 [9] 1791.176 1648.437
... with 195 more values
Distribution: exponential
  C-Index 
0.8210643 

Predicted probabilities (distr = exp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2     Time3
 [1,] 0.6567222 0.3495057 0.1221542
 [2,] 0.9274488 0.8283710 0.6861985
 [3,] 0.9219532 0.8161541 0.6661075
 [4,] 0.8316448 0.6307317 0.3978225
 [5,] 0.6662451 0.3623140 0.1312714
 [6,] 0.7790662 0.5357176 0.2869933
 [7,] 0.7043435 0.4163526 0.1733495
 [8,] 0.8450101 0.6563792 0.4308336
 [9,] 0.6652758 0.3609976 0.1303193
[10,] 0.6422076 0.3305131 0.1092389
... with 195 more rows
Times: 730, 1825, 3650
Distribution: exponential
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
     0.1283397      0.0784087      0.1393047      0.1417331      0.8733428 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
     0.8691849      0.8730877      0.8751590      0.8034556      0.8901014 
Accuracy.time2 Accuracy.time3 
     0.8047713      0.7680078 

Predicted means (distr = ray)
--- SurvMeans object -----------------------------------------------------------
 [1] 1535.589 4908.543 4155.139 2949.395 1902.937 2525.122 1727.093 2756.946
 [9] 1880.662 1541.707
... with 195 more values
Distribution: rayleigh
  C-Index 
0.8137938 

Predicted probabilities (distr = ray)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.8373653 0.3297756 0.01182698
 [2,] 0.9827788 0.8971160 0.64773052
 [3,] 0.9760497 0.8594083 0.54550432
 [4,] 0.9530253 0.7402914 0.30033839
 [5,] 0.8908484 0.4855944 0.05560256
 [6,] 0.9364676 0.6634830 0.19378457
 [7,] 0.8690844 0.4160420 0.02996048
 [8,] 0.9464232 0.7088162 0.25242621
 [9,] 0.8883982 0.4773072 0.05190294
[10,] 0.8385434 0.3326861 0.01225007
... with 195 more rows
Times: 730, 1825, 3650
Distribution: rayleigh
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.12254510     0.09069486     0.14355315     0.12268036     0.86131298 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.86027377     0.86455862     0.85978128     0.80579516     0.89010141 
Accuracy.time2 Accuracy.time3 
    0.79825872     0.77659453 

Predicted means (distr = wei)
--- SurvMeans object -----------------------------------------------------------
 [1]  2207.741 28644.853  3519.603  4044.558  1903.999  3316.048  2655.747
 [8]  4050.252  1913.466  1690.629
... with 195 more values
Distribution: weibull
  C-Index 
0.7801058 

Predicted probabilities (distr = wei)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2     Time3
 [1,] 0.6060177 0.3709116 0.1895802
 [2,] 0.8802876 0.7980483 0.7065673
 [3,] 0.9931578 0.9023638 0.4513772
 [4,] 0.8271122 0.6284975 0.4009850
 [5,] 0.6298357 0.3587846 0.1537939
 [6,] 0.7437761 0.5242766 0.3119423
 [7,] 0.6571040 0.4287726 0.2370209
 [8,] 0.8542644 0.6587318 0.4178883
 [9,] 0.6271728 0.3584669 0.1553477
[10,] 0.6316167 0.3333155 0.1194850
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.12340719     0.07746467     0.14780242     0.12714707     0.87334607 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.89877350     0.85954075     0.87145829     0.80354517     0.88403217 
Accuracy.time2 Accuracy.time3 
    0.79236078     0.77806100 

Predicted means (method = bre)
--- SurvMeans object -----------------------------------------------------------
 [1]  2207.741 28644.853  3519.603  4044.558  1903.999  3316.048  2655.747
 [8]  4050.252  1913.466  1690.629
... with 195 more values
Distribution: weibull
  C-Index 
0.7801058 

Predicted probabilities (method = bre)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2     Time3
 [1,] 0.5434780 0.3720858 0.3235596
 [2,] 0.9169977 0.8402495 0.6755845
 [3,] 0.9949041 0.8676696 0.4757327
 [4,] 0.8989178 0.6769508 0.3907512
 [5,] 0.5979479 0.3121340 0.2286178
 [6,] 0.7414910 0.4667339 0.3583660
 [7,] 0.6309510 0.4381137 0.3313085
 [8,] 0.8515664 0.6675942 0.2798408
 [9,] 0.6006365 0.3225937 0.2523643
[10,] 0.6169238 0.3254542 0.2166348
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.11832408     0.06528219     0.12911202     0.13306807     0.89765996 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.91616059     0.88570193     0.89743453     0.82231504     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.82225415     0.79243673 

Predicted means (method = efr)
--- SurvMeans object -----------------------------------------------------------
 [1]  2207.741 28644.853  3519.603  4044.558  1903.999  3316.048  2655.747
 [8]  4050.252  1913.466  1690.629
... with 195 more values
Distribution: weibull
  C-Index 
0.7801058 

Predicted probabilities (method = efr)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2     Time3
 [1,] 0.5434780 0.3720858 0.3235596
 [2,] 0.9169977 0.8402495 0.6755845
 [3,] 0.9949041 0.8676696 0.4757327
 [4,] 0.8989178 0.6769508 0.3907512
 [5,] 0.5979479 0.3121340 0.2286178
 [6,] 0.7414910 0.4667339 0.3583660
 [7,] 0.6309510 0.4381137 0.3313085
 [8,] 0.8515664 0.6675942 0.2798408
 [9,] 0.6006365 0.3225937 0.2523643
[10,] 0.6169238 0.3254542 0.2166348
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.11832408     0.06528219     0.12911202     0.13306807     0.89765996 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.91616059     0.88570193     0.89743453     0.82231504     0.89710215 
Accuracy.time2 Accuracy.time3 
    0.82225415     0.79243673 

Predicted events: 
--- SurvEvents object ----------------------------------------------------------
      Time1 Time2 Time3
 [1,]     0     1     1
 [2,]     0     0     0
 [3,]     0     0     1
 [4,]     0     0     1
 [5,]     0     1     1
 [6,]     0     1     1
 [7,]     0     1     1
 [8,]     0     0     1
 [9,]     0     1     1
[10,]     0     1     1
... with 195 more rows
Times: 730, 1825, 3650
Distribution: empirical
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.8223150      0.8971021      0.8222541      0.7924367 
Model: SurvRegModel 

Predicted means (distr = emp)
--- SurvMeans object -----------------------------------------------------------
 [1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580  1676.297
 [8]  4807.999  1366.181  2364.443
... with 195 more values
Distribution: weibull
  C-Index 
0.7389551 

Predicted probabilities (distr = emp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6468607 0.3043083 0.07855303
 [2,] 0.9311154 0.8228997 0.65915130
 [3,] 0.9714729 0.9240012 0.84449506
 [4,] 0.9178308 0.7912299 0.60609303
 [5,] 0.5543972 0.1996921 0.03191189
 [6,] 0.8940612 0.7365145 0.51998641
 [7,] 0.6791341 0.3475852 0.10438673
 [8,] 0.8852679 0.7168992 0.49082207
 [9,] 0.6161703 0.2664778 0.05914028
[10,] 0.7669225 0.4844510 0.21230764
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16274844     0.07487097     0.15954889     0.19981916     0.77757858 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82244057     0.77803479     0.75936005     0.77247890     0.91180292 
Accuracy.time2 Accuracy.time3 
    0.78211451     0.71096794 

Predicted means (distr = exp)
--- SurvMeans object -----------------------------------------------------------
 [1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580  1676.297
 [8]  4807.999  1366.181  2364.443
... with 195 more values
Distribution: weibull
  C-Index 
0.7389551 

Predicted probabilities (distr = exp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6468607 0.3043083 0.07855303
 [2,] 0.9311154 0.8228997 0.65915130
 [3,] 0.9714729 0.9240012 0.84449506
 [4,] 0.9178308 0.7912299 0.60609303
 [5,] 0.5543972 0.1996921 0.03191189
 [6,] 0.8940612 0.7365145 0.51998641
 [7,] 0.6791341 0.3475852 0.10438673
 [8,] 0.8852679 0.7168992 0.49082207
 [9,] 0.6161703 0.2664778 0.05914028
[10,] 0.7669225 0.4844510 0.21230764
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16274844     0.07487097     0.15954889     0.19981916     0.77757858 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82244057     0.77803479     0.75936005     0.77247890     0.91180292 
Accuracy.time2 Accuracy.time3 
    0.78211451     0.71096794 

Predicted means (distr = ray)
--- SurvMeans object -----------------------------------------------------------
 [1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580  1676.297
 [8]  4807.999  1366.181  2364.443
... with 195 more values
Distribution: weibull
  C-Index 
0.7389551 

Predicted probabilities (distr = ray)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6468607 0.3043083 0.07855303
 [2,] 0.9311154 0.8228997 0.65915130
 [3,] 0.9714729 0.9240012 0.84449506
 [4,] 0.9178308 0.7912299 0.60609303
 [5,] 0.5543972 0.1996921 0.03191189
 [6,] 0.8940612 0.7365145 0.51998641
 [7,] 0.6791341 0.3475852 0.10438673
 [8,] 0.8852679 0.7168992 0.49082207
 [9,] 0.6161703 0.2664778 0.05914028
[10,] 0.7669225 0.4844510 0.21230764
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16274844     0.07487097     0.15954889     0.19981916     0.77757858 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82244057     0.77803479     0.75936005     0.77247890     0.91180292 
Accuracy.time2 Accuracy.time3 
    0.78211451     0.71096794 

Predicted means (distr = wei)
--- SurvMeans object -----------------------------------------------------------
 [1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580  1676.297
 [8]  4807.999  1366.181  2364.443
... with 195 more values
Distribution: weibull
  C-Index 
0.7389551 

Predicted probabilities (distr = wei)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6468607 0.3043083 0.07855303
 [2,] 0.9311154 0.8228997 0.65915130
 [3,] 0.9714729 0.9240012 0.84449506
 [4,] 0.9178308 0.7912299 0.60609303
 [5,] 0.5543972 0.1996921 0.03191189
 [6,] 0.8940612 0.7365145 0.51998641
 [7,] 0.6791341 0.3475852 0.10438673
 [8,] 0.8852679 0.7168992 0.49082207
 [9,] 0.6161703 0.2664778 0.05914028
[10,] 0.7669225 0.4844510 0.21230764
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16274844     0.07487097     0.15954889     0.19981916     0.77757858 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82244057     0.77803479     0.75936005     0.77247890     0.91180292 
Accuracy.time2 Accuracy.time3 
    0.78211451     0.71096794 

Predicted means (method = bre)
--- SurvMeans object -----------------------------------------------------------
 [1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580  1676.297
 [8]  4807.999  1366.181  2364.443
... with 195 more values
Distribution: weibull
  C-Index 
0.7389551 

Predicted probabilities (method = bre)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6468607 0.3043083 0.07855303
 [2,] 0.9311154 0.8228997 0.65915130
 [3,] 0.9714729 0.9240012 0.84449506
 [4,] 0.9178308 0.7912299 0.60609303
 [5,] 0.5543972 0.1996921 0.03191189
 [6,] 0.8940612 0.7365145 0.51998641
 [7,] 0.6791341 0.3475852 0.10438673
 [8,] 0.8852679 0.7168992 0.49082207
 [9,] 0.6161703 0.2664778 0.05914028
[10,] 0.7669225 0.4844510 0.21230764
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16274844     0.07487097     0.15954889     0.19981916     0.77757858 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82244057     0.77803479     0.75936005     0.77247890     0.91180292 
Accuracy.time2 Accuracy.time3 
    0.78211451     0.71096794 

Predicted means (method = efr)
--- SurvMeans object -----------------------------------------------------------
 [1]  1504.553  7831.985 17839.505  6625.441  1141.152  5193.580  1676.297
 [8]  4807.999  1366.181  2364.443
... with 195 more values
Distribution: weibull
  C-Index 
0.7389551 

Predicted probabilities (method = efr)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.6468607 0.3043083 0.07855303
 [2,] 0.9311154 0.8228997 0.65915130
 [3,] 0.9714729 0.9240012 0.84449506
 [4,] 0.9178308 0.7912299 0.60609303
 [5,] 0.5543972 0.1996921 0.03191189
 [6,] 0.8940612 0.7365145 0.51998641
 [7,] 0.6791341 0.3475852 0.10438673
 [8,] 0.8852679 0.7168992 0.49082207
 [9,] 0.6161703 0.2664778 0.05914028
[10,] 0.7669225 0.4844510 0.21230764
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16274844     0.07487097     0.15954889     0.19981916     0.77757858 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.82244057     0.77803479     0.75936005     0.77247890     0.91180292 
Accuracy.time2 Accuracy.time3 
    0.78211451     0.71096794 

Predicted events: 
--- SurvEvents object ----------------------------------------------------------
      Time1 Time2 Time3
 [1,]     0     1     1
 [2,]     0     0     0
 [3,]     0     0     0
 [4,]     0     0     0
 [5,]     0     1     1
 [6,]     0     0     0
 [7,]     0     1     1
 [8,]     0     0     1
 [9,]     0     1     1
[10,]     0     1     1
... with 195 more rows
Times: 730, 1825, 3650
Distribution: weibull
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.7724789      0.9118029      0.7821145      0.7109679 
Model: XGBDARTModel 

Predicted means (distr = emp)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = emp)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (distr = exp)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = exp)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (distr = ray)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = ray)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (distr = wei)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = wei)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (method = bre)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (method = bre)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (method = efr)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (method = efr)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted events: 
--- SurvEvents object ----------------------------------------------------------
      Time1 Time2 Time3
 [1,]     1     1     1
 [2,]     1     1     1
 [3,]     0     0     0
 [4,]     1     1     1
 [5,]     1     1     1
 [6,]     1     1     1
 [7,]     1     1     1
 [8,]     1     1     1
 [9,]     1     1     1
[10,]     1     1     1
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.9872595      0.9950954      1.0000000      0.9764808 
Model: XGBLinearModel 

Predicted means (distr = emp)
--- SurvTimes object -----------------------------------------------------------
 [1]  917.3235 4579.4829 5480.0869 4587.4775  812.9866 2201.1167 1038.6749
 [8] 2413.9475  797.4570 1481.3057
... with 195 more values
Distribution: gaussian
  C-Index 
0.7429885 

Predicted probabilities (distr = emp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.5903385 0.2457657 0.08363607
 [2,] 0.9668431 0.8212152 0.58973326
 [3,] 0.9780912 0.8642339 0.65777336
 [4,] 0.9669718 0.8216706 0.59041131
 [5,] 0.5428713 0.2093667 0.06657854
 [6,] 0.8651331 0.5743206 0.30651176
 [7,] 0.6378270 0.2865016 0.10441642
 [8,] 0.8841467 0.6101398 0.33963341
 [9,] 0.5352140 0.2038615 0.06412308
[10,] 0.7604139 0.4173584 0.18358070
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16127321     0.07338674     0.16101380     0.19658345     0.77082665 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.83561020     0.78009843     0.73935016     0.77295667     0.90202231 
Accuracy.time2 Accuracy.time3 
    0.76229469     0.72772760 

Predicted means (distr = exp)
--- SurvTimes object -----------------------------------------------------------
 [1]  917.3235 4579.4829 5480.0869 4587.4775  812.9866 2201.1167 1038.6749
 [8] 2413.9475  797.4570 1481.3057
... with 195 more values
Distribution: gaussian
  C-Index 
0.7429885 

Predicted probabilities (distr = exp)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.5903385 0.2457657 0.08363607
 [2,] 0.9668431 0.8212152 0.58973326
 [3,] 0.9780912 0.8642339 0.65777336
 [4,] 0.9669718 0.8216706 0.59041131
 [5,] 0.5428713 0.2093667 0.06657854
 [6,] 0.8651331 0.5743206 0.30651176
 [7,] 0.6378270 0.2865016 0.10441642
 [8,] 0.8841467 0.6101398 0.33963341
 [9,] 0.5352140 0.2038615 0.06412308
[10,] 0.7604139 0.4173584 0.18358070
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16127321     0.07338674     0.16101380     0.19658345     0.77082665 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.83561020     0.78009843     0.73935016     0.77295667     0.90202231 
Accuracy.time2 Accuracy.time3 
    0.76229469     0.72772760 

Predicted means (distr = ray)
--- SurvTimes object -----------------------------------------------------------
 [1]  917.3235 4579.4829 5480.0869 4587.4775  812.9866 2201.1167 1038.6749
 [8] 2413.9475  797.4570 1481.3057
... with 195 more values
Distribution: gaussian
  C-Index 
0.7429885 

Predicted probabilities (distr = ray)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.5903385 0.2457657 0.08363607
 [2,] 0.9668431 0.8212152 0.58973326
 [3,] 0.9780912 0.8642339 0.65777336
 [4,] 0.9669718 0.8216706 0.59041131
 [5,] 0.5428713 0.2093667 0.06657854
 [6,] 0.8651331 0.5743206 0.30651176
 [7,] 0.6378270 0.2865016 0.10441642
 [8,] 0.8841467 0.6101398 0.33963341
 [9,] 0.5352140 0.2038615 0.06412308
[10,] 0.7604139 0.4173584 0.18358070
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16127321     0.07338674     0.16101380     0.19658345     0.77082665 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.83561020     0.78009843     0.73935016     0.77295667     0.90202231 
Accuracy.time2 Accuracy.time3 
    0.76229469     0.72772760 

Predicted means (distr = wei)
--- SurvTimes object -----------------------------------------------------------
 [1]  917.3235 4579.4829 5480.0869 4587.4775  812.9866 2201.1167 1038.6749
 [8] 2413.9475  797.4570 1481.3057
... with 195 more values
Distribution: gaussian
  C-Index 
0.7429885 

Predicted probabilities (distr = wei)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.5903385 0.2457657 0.08363607
 [2,] 0.9668431 0.8212152 0.58973326
 [3,] 0.9780912 0.8642339 0.65777336
 [4,] 0.9669718 0.8216706 0.59041131
 [5,] 0.5428713 0.2093667 0.06657854
 [6,] 0.8651331 0.5743206 0.30651176
 [7,] 0.6378270 0.2865016 0.10441642
 [8,] 0.8841467 0.6101398 0.33963341
 [9,] 0.5352140 0.2038615 0.06412308
[10,] 0.7604139 0.4173584 0.18358070
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16127321     0.07338674     0.16101380     0.19658345     0.77082665 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.83561020     0.78009843     0.73935016     0.77295667     0.90202231 
Accuracy.time2 Accuracy.time3 
    0.76229469     0.72772760 

Predicted means (method = bre)
--- SurvTimes object -----------------------------------------------------------
 [1]  917.3235 4579.4829 5480.0869 4587.4775  812.9866 2201.1167 1038.6749
 [8] 2413.9475  797.4570 1481.3057
... with 195 more values
Distribution: gaussian
  C-Index 
0.7429885 

Predicted probabilities (method = bre)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.5903385 0.2457657 0.08363607
 [2,] 0.9668431 0.8212152 0.58973326
 [3,] 0.9780912 0.8642339 0.65777336
 [4,] 0.9669718 0.8216706 0.59041131
 [5,] 0.5428713 0.2093667 0.06657854
 [6,] 0.8651331 0.5743206 0.30651176
 [7,] 0.6378270 0.2865016 0.10441642
 [8,] 0.8841467 0.6101398 0.33963341
 [9,] 0.5352140 0.2038615 0.06412308
[10,] 0.7604139 0.4173584 0.18358070
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16127321     0.07338674     0.16101380     0.19658345     0.77082665 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.83561020     0.78009843     0.73935016     0.77295667     0.90202231 
Accuracy.time2 Accuracy.time3 
    0.76229469     0.72772760 

Predicted means (method = efr)
--- SurvTimes object -----------------------------------------------------------
 [1]  917.3235 4579.4829 5480.0869 4587.4775  812.9866 2201.1167 1038.6749
 [8] 2413.9475  797.4570 1481.3057
... with 195 more values
Distribution: gaussian
  C-Index 
0.7429885 

Predicted probabilities (method = efr)
--- SurvProbs object -----------------------------------------------------------
          Time1     Time2      Time3
 [1,] 0.5903385 0.2457657 0.08363607
 [2,] 0.9668431 0.8212152 0.58973326
 [3,] 0.9780912 0.8642339 0.65777336
 [4,] 0.9669718 0.8216706 0.59041131
 [5,] 0.5428713 0.2093667 0.06657854
 [6,] 0.8651331 0.5743206 0.30651176
 [7,] 0.6378270 0.2865016 0.10441642
 [8,] 0.8841467 0.6101398 0.33963341
 [9,] 0.5352140 0.2038615 0.06412308
[10,] 0.7604139 0.4173584 0.18358070
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.16127321     0.07338674     0.16101380     0.19658345     0.77082665 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    0.83561020     0.78009843     0.73935016     0.77295667     0.90202231 
Accuracy.time2 Accuracy.time3 
    0.76229469     0.72772760 

Predicted events: 
--- SurvEvents object ----------------------------------------------------------
      Time1 Time2 Time3
 [1,]     0     1     1
 [2,]     0     0     0
 [3,]     0     0     0
 [4,]     0     0     0
 [5,]     0     1     1
 [6,]     0     0     1
 [7,]     0     1     1
 [8,]     0     0     1
 [9,]     0     1     1
[10,]     0     1     1
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.7729567      0.9020223      0.7622947      0.7277276 
Model: XGBTreeModel 

Predicted means (distr = emp)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = emp)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (distr = exp)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = exp)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (distr = ray)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = ray)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (distr = wei)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = wei)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (method = bre)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (method = bre)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (method = efr)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (method = efr)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted events: 
--- SurvEvents object ----------------------------------------------------------
      Time1 Time2 Time3
 [1,]     1     1     1
 [2,]     1     1     1
 [3,]     0     0     0
 [4,]     1     1     1
 [5,]     1     1     1
 [6,]     1     1     1
 [7,]     1     1     1
 [8,]     1     1     1
 [9,]     1     1     1
[10,]     1     1     1
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.9872595      0.9950954      1.0000000      0.9764808 
Model: XGBTreeModel 

Predicted means (distr = emp)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = emp)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (distr = exp)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = exp)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (distr = ray)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = ray)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (distr = wei)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (distr = wei)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (method = bre)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (method = bre)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted means (method = efr)
--- SurvTimes object -----------------------------------------------------------
 [1]     10.23271     33.94904 275945.28125    100.91651    187.23074
 [6]    205.92702    232.68121    240.58345    240.60490    290.81451
... with 195 more values
Distribution: gaussian
 C-Index 
0.998593 

Predicted probabilities (method = efr)
--- SurvProbs object -----------------------------------------------------------
             Time1        Time2        Time3
 [1,] 9.885787e-06 1.087368e-07 2.090194e-09
 [2,] 1.076820e-03 3.381479e-05 1.451106e-06
 [3,] 1.000000e+00 9.999997e-01 9.999924e-01
 [4,] 2.392203e-02 1.895541e-03 1.664915e-04
 [5,] 8.680382e-02 1.139331e-02 1.488317e-03
 [6,] 1.028420e-01 1.456165e-02 2.020389e-03
 [7,] 1.264414e-01 1.971525e-02 2.954281e-03
 [8,] 1.335044e-01 2.136865e-02 3.269871e-03
 [9,] 1.335236e-01 2.137322e-02 3.270753e-03
[10,] 1.786926e-01 3.313082e-02 5.706430e-03
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
    Brier.mean    Brier.time1    Brier.time2    Brier.time3   ROC AUC.mean 
    0.03268946     0.02797425     0.03628669     0.03241719     1.00000000 
 ROC AUC.time1  ROC AUC.time2  ROC AUC.time3  Accuracy.mean Accuracy.time1 
    1.00000000     1.00000000     1.00000000     0.98725951     0.99509544 
Accuracy.time2 Accuracy.time3 
    1.00000000     0.97648084 

Predicted events: 
--- SurvEvents object ----------------------------------------------------------
      Time1 Time2 Time3
 [1,]     1     1     1
 [2,]     1     1     1
 [3,]     0     0     0
 [4,]     1     1     1
 [5,]     1     1     1
 [6,]     1     1     1
 [7,]     1     1     1
 [8,]     1     1     1
 [9,]     1     1     1
[10,]     1     1     1
... with 195 more rows
Times: 730, 1825, 3650
Distribution: gaussian
 Accuracy.mean Accuracy.time1 Accuracy.time2 Accuracy.time3 
     0.9872595      0.9950954      1.0000000      0.9764808 

> models <- c(BARTModel(), BlackBoostModel(), GAMBoostModel(baselearner = "bols"),
+ GLMBoostModel(), GLMNetModel(lambda = 0.05), RangerModel(), RPartModel())
> for (model in models) {
+   test_predict_defaults(fo, df, model = model)
+ }
Model: BARTModel 
*****In main of C++ for bart prediction
tc (threadcount): 1
number of bart draws: 1000
number of trees in bart sum: 50
number of x columns: 6
from x,np,p: 6, 39770
***using serial code
--- SurvMeans object -----------------------------------------------------------
 [1] 2135.385 9177.483 8289.844 5984.653 2255.593 3616.849 2128.328 3772.237
 [9] 2260.769 3245.776
... with 195 more values
Distribution: weibull
  C-Index 
0.8074289 
Model: BlackBoostModel 
--- SurvMeans object -----------------------------------------------------------
 [1] 2203.1217 6871.8868 9510.2630 3522.8119 1090.8792 3371.7754 2203.1217
 [8] 3557.9782  672.3609 2536.4618
... with 195 more values
Distribution: weibull
  C-Index 
0.8026452 
Model: GAMBoostModel 
--- SurvMeans object -----------------------------------------------------------
 [1] 1976.424 7476.882 8576.702 6352.006 1816.996 4127.929 2190.379 3749.519
 [9] 1780.595 2509.602
... with 195 more values
Distribution: weibull
  C-Index 
0.7390489 
Model: GLMBoostModel 
--- SurvMeans object -----------------------------------------------------------
 [1] 1976.424 7476.882 8576.702 6352.006 1816.996 4127.929 2190.379 3749.519
 [9] 1780.595 2509.602
... with 195 more values
Distribution: weibull
  C-Index 
0.7390489 
Model: GLMNetModel 
--- SurvMeans object -----------------------------------------------------------
 [1]  2495.073  8929.825 10143.324  7531.495  2285.611  4990.461  2754.647
 [8]  4510.309  2239.689  3074.687
... with 195 more values
Distribution: weibull
  C-Index 
0.7399869 
Model: RangerModel 
--- SurvMeans object -----------------------------------------------------------
 [1] 3.672070e+03 4.571565e+10 5.330536e+04 3.514374e+03 3.477705e+03
 [6] 1.295933e+03 5.333929e+03 1.377019e+05 1.066207e+03 1.798786e+03
... with 195 more values
Distribution: weibull
  C-Index 
0.8549855 
Model: RPartModel 
--- SurvMeans object -----------------------------------------------------------
 [1]  1269.163  4625.898  4639.688  6873.595 17077.929  1730.269  1269.163
 [8] 12222.675 17077.929  1269.163
... with 195 more values
Distribution: weibull
  C-Index 
0.6704918 

