Package: dtrSurv 1.4

Shannon T. Holloway

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.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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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 198 downloads 5 exports 3 dependencies

Last updated 2 years agofrom:978e4df7e1. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-linux-x86_64OKOct 26 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