7a38c742dea1fb636c60c42baa5b9660 *DESCRIPTION
4c2984b6a62b240d195d1fbf64794b30 *NAMESPACE
c3f90f95e4928dccee9b9f514657375c *NEWS.md
5ba8088f0fd5870f893b1c01097bc7b0 *R/RcppExports.R
7aa887fbbefe62afc42e7fe73502c5ab *R/StealLikeBayes-package.R
3e513f1a7d61acf77e1b32c1114584a5 *R/rgennorm.R
cf710bbb2526a83696aafe9f3573e5dd *R/rhaar.R
3eaabf38ca4b8dfa9e79ed388b47370d *R/rnorm1_precision_sampler.R
dd8db9fa32afd717be9e56bfe8d523f5 *R/rtmvnorm.R
10bf08ea0d9edf64beb7608e87f64590 *R/rtmvnorm_hmc.R
176aece809d10f9a5a485d8208d0fafb *R/sample_variances_horseshoe.R
63c7960aba6f91c884ec969e76411235 *R/sample_variances_normal_gamma.R
66a9d11ea6392b447fcd4b57a3d1a30d *README.md
ca3d0ca67b2681f86c73738b31325ccd *inst/include/StealLikeBayes.h
ffcb42de0ba138d1080bf8be48512496 *inst/include/StealLikeBayes_RcppExports.h
aa10d8665d01987665f68e5183eaeb3f *inst/tinytest/test_rgennorm.R
ca803e3f7e5c90de70dc9105acac22fd *inst/tinytest/test_rhaar.R
f1e72b71cd4e0cd29581fd1bb427f514 *inst/tinytest/test_rnorm1_precision_sampler.R
7f208a887350c7af153a947927eca81d *inst/tinytest/test_rtmvnorm.R
e9fd550674ff6c602461176ed301f95d *inst/tinytest/test_rtmvnorm_hmc.R
5f4b9a7410554a0f49c09d396014c486 *inst/tinytest/test_sample_variances_horseshoe_test.r
417969937f612e2cfe94149fb6b03dc9 *inst/tinytest/test_sample_variances_normal_gamma.R
2f2376d84828c60b45277734f6ed16fb *man/StealLikeBayes-package.Rd
32cb276b6dcaf4f2afe9e06868a42cfa *man/figures/README-pressure-1.png
a825a219cbcca30f2d6a16fc58088db2 *man/figures/logo.png
7ac405e252794d15aea849eff221c200 *man/rgennorm.Rd
3f1fc505ec9fa9cf1ed2e34299a2d8b8 *man/rhaar1.Rd
5cbdfbc8f73af91783a62c33ea8b1963 *man/rnorm1_precision_sampler.Rd
e46c85f0acd7498503dba968d28193fa *man/rtmvnorm.Rd
8c1f8be74c1cb6272caba701dca88121 *man/rtmvnorm_hmc.Rd
1797f89c62f05abbfb64566f38005b85 *man/sample_variances_horseshoe.Rd
47d57b23fd233352ac04e0ba39bdbbfd *man/sample_variances_normal_gamma.Rd
40f139228735d306fdb28f5f16115521 *src/Makevars
40f139228735d306fdb28f5f16115521 *src/Makevars.win
9b142f9e07d9a0e134cdc4d4b938c9fc *src/RcppExports.cpp
fadd608d260e135e72f937bf1dda5e8b *src/rgennorm.cpp
799a95157e72645ff20a24c738f45037 *src/rgennorm.h
2af626edd4356d36d776d5a328c82286 *src/rhaar.cpp
0ee7ccf6aeb61576af82862b2af6a844 *src/rhaar.h
706109822451407c52d8eb576d7c0bb2 *src/rnorm1_precision_sampler.cpp
c54e2f9bc6494cc7b0cc5306bcefe241 *src/rnorm1_precision_sampler.h
8b311b59ad567f8a5d527775eb3f500f *src/rtmvnorm.cpp
03520d41263e58946c511bf2054ecb24 *src/rtmvnorm.h
4d72fa82623f0e2ca4984bd41d2ddb5e *src/rtmvnorm_hmc.cpp
000e51ec594b94c11f998fa7796dafbf *src/rtmvnorm_hmc.h
2b3e4e07d395d4050a2bcb3faa9beebc *src/sample_variances_horseshoe.cpp
e650c24812223157eab1e85c176c19aa *src/sample_variances_horseshoe.h
f4358efe82aec8c686effed1e1a55de1 *src/sample_variances_normal_gamma.cpp
23c28ec4e6e573d918763096a7a454c0 *src/sample_variances_normal_gamma.h
31224b3aba5b44ef9bf7ed41b2e5c2a5 *tests/tinytest.R
