Skip to content

BayesRegDTR

Bayesian Regression for Dynamic Treatment Regimes

v1.1.2 · Nov 27, 2025 · GPL (>= 3)

Description

Methods to estimate optimal dynamic treatment regimes using Bayesian likelihood-based regression approach as described in Yu, W., & Bondell, H. D. (2023) <doi:10.1093/jrsssb/qkad016> Uses backward induction and dynamic programming theory for computing expected values. Offers options for future parallel computing.

Downloads

176

Last 30 days

19034th

330

Last 90 days

330

Last year

Trend: +14.3% (30d vs prior 30d)

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (14 non-OK)
OK r-devel-linux-x86_64-debian-clang

*


            
OK r-devel-linux-x86_64-debian-gcc

*


            
OK r-devel-linux-x86_64-fedora-clang

*


            
OK r-devel-linux-x86_64-fedora-gcc

*


            
OK r-devel-macos-arm64

*


            
OK r-devel-windows-x86_64

*


            
OK r-oldrel-macos-arm64

*


            
OK r-oldrel-macos-x86_64

*


            
OK r-oldrel-windows-x86_64

*


            
OK r-patched-linux-x86_64

*


            
OK r-release-linux-x86_64

*


            
OK r-release-macos-arm64

*


            
OK r-release-macos-x86_64

*


            
OK r-release-windows-x86_64

*


            

Additional Issues

donttest Details →

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies doRNG Rcpp mvtnorm foreach progressr future BayesRegDTR

Version History

new 1.1.2 Mar 9, 2026