Package: DTRreg 2.2

DTRreg: DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)

Dynamic treatment regime estimation and inference via G-estimation, dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via bootstrap and recursive sandwich estimation. Estimation and inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv). Extension to continuous treatment variables. Wallace et al. (2017) <doi:10.18637/jss.v080.i02>; Simoneau et al. (2020) <doi:10.1080/00949655.2020.1793341>.

Authors:Michael Wallace, Erica E M Moodie, David A Stephens, Gabrielle Simoneau, Shannon T. Holloway and Juliana Schulz

DTRreg_2.2.tar.gz
DTRreg_2.2.zip(r-4.5)DTRreg_2.2.zip(r-4.4)DTRreg_2.2.zip(r-4.3)
DTRreg_2.2.tgz(r-4.5-any)DTRreg_2.2.tgz(r-4.4-any)DTRreg_2.2.tgz(r-4.3-any)
DTRreg_2.2.tar.gz(r-4.5-noble)DTRreg_2.2.tar.gz(r-4.4-noble)
DTRreg_2.2.tgz(r-4.4-emscripten)DTRreg_2.2.tgz(r-4.3-emscripten)
DTRreg.pdf |DTRreg.html
DTRreg/json (API)
NEWS

# Install 'DTRreg' in R:
install.packages('DTRreg', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.60 score 1 stars 10 scripts 469 downloads 2 mentions 3 exports 2 dependencies

Last updated 12 months agofrom:49501ba0e4. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-winNOTEMar 06 2025
R-4.5-macNOTEMar 06 2025
R-4.5-linuxNOTEMar 06 2025
R-4.4-winOKMar 06 2025
R-4.4-macOKMar 06 2025
R-4.4-linuxOKMar 06 2025
R-4.3-winOKMar 06 2025
R-4.3-macOKMar 06 2025

Exports:chooseMDTRregDWSurv

Dependencies:nnetR6