Package: dtrSurv 1.4

dtrSurv: Dynamic Treatment Regimes for Survival Analysis

Provides methods for estimating multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring. Cho, H., Holloway, S. T., and Kosorok, M. R. (2020) <arxiv:2012.03294>.

Authors:Shannon T. Holloway, Hunyong Cho

dtrSurv_1.4.tar.gz
dtrSurv_1.4.zip(r-4.5)dtrSurv_1.4.zip(r-4.4)dtrSurv_1.4.zip(r-4.3)
dtrSurv_1.4.tgz(r-4.4-x86_64)dtrSurv_1.4.tgz(r-4.4-arm64)dtrSurv_1.4.tgz(r-4.3-x86_64)dtrSurv_1.4.tgz(r-4.3-arm64)
dtrSurv_1.4.tar.gz(r-4.5-noble)dtrSurv_1.4.tar.gz(r-4.4-noble)
dtrSurv.pdf |dtrSurv.html
dtrSurv/json (API)
NEWS

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

Peer review:

Uses libs:
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

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

1.00 score 1 scripts 226 downloads 5 exports 3 dependencies

Last updated 2 years agofrom:978e4df7e1. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-win-x86_64OKNov 22 2024
R-4.5-linux-x86_64OKNov 22 2024
R-4.4-win-x86_64OKNov 22 2024
R-4.4-mac-x86_64OKNov 22 2024
R-4.4-mac-aarch64OKNov 22 2024
R-4.3-win-x86_64OKNov 22 2024
R-4.3-mac-x86_64OKNov 22 2024
R-4.3-mac-aarch64OKNov 22 2024

Exports:dtrSurvpredictprintshowstage

Dependencies:latticeMatrixsurvival

Readme and manuals

Help Manual

Help pageTopics
Dynamic Treatment Regime for Survival AnalysisdtrSurv
Prediction Methodpredict predict,DTRSurv-method
Print Analysis Resultsprint print,DTRSurv-method
Show Analysis Resultsshow show,DTRSurv-method
Retrieve Stage Results as a Liststage stage,DTRSurv-method