.return_full_fits. Allows the user to decide if full SuperLearner fit should be returned (issue #119).intervention_type argument replaced with mtp.fits$id being NULL. Fixes a backwards compatibility bug (issue #117).data.table version must be 1.13.0 or later. This was when the function fcase was released (issue #122)..SL_folds argument split into .learners_outcome_folds and .learners_trt_folds.id with lmtp_contrast (issue #110).folds must be greater than 1 (issue #112).shifted parameter for directly passing shifted data instead of using a shift function (issue #89).intervention_type parameter required for specifying if the intervention of interest is a static regime, a dynamic regime, or a modified treatment policy (issue #94).return_all_ratios removed as an argument. Returned density ratios are now non-cumulative product ratios.lmtp_tmle and lmtp_sdr weren’t using validation set density ratios.data is a data.table (issue #88).sim_point_surv data set (issue #91).getting-started.Rmd vignette when using new version of the future package (issue #100).data is a data.table (issue #88).sim_point_surv data set (issue #91).New weights parameter for observation sampling weights (issue #78).
For time-to-event analysis, survival probability is now estimated instead of the cumulative incidence. This fixes a bug with IPW and survival problems.
Outcome type now accepts "survival" for explicit indication of a survival outcome (issue #76). Because of this lmtp_ipw() now requires setting the outcome type.
New .trimming parameter for trimming extreme density ratios.
New .SL_folds parameter that controls the splits used for fitting the SuperLearner (issue #84).
New .return_all_ratios parameter that allows for returning non-cumulative product density ratios to the user.
bound parameter renamed to .bound.
Fixed a bug that caused the final estimate to be incorrectly estimated with SDR (issue #87).
Fixed a bug that outputted outcome regressions and density ratios in incorrect order compared to the original data.
Fixed a bug in the missing data check that threw an error for missing data after an observation experiences the outcome.
Fixed a bug in the calculation of standard errors when the id parameter is specified.
Fixed a bug that resulted in NA censoring indicators throwing an error for missing data.
Fixed a bug about values() being deprecated in the future package (issue #82).
Fixed a warning from the future package regarding random number generation (issue #81).
Fixed create_node_list() returns description (issue #77).
slider dependency removed.
data.table added as a dependency.
event_locf() speed greatly improved (issue #80).
Migrated continuous integration from Travis-CI to GitHub Actions.
Added a NEWS.md file to track changes to the package.
License change to GPL-3.