Package: DTRreg 2.4
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:
DTRreg_2.4.tar.gz
DTRreg_2.4.zip(r-4.7-any)DTRreg_2.4.zip(r-4.6-any)DTRreg_2.4.zip(r-4.5-any)
DTRreg_2.4.tgz(r-4.6-any)DTRreg_2.4.tgz(r-4.5-any)
DTRreg_2.4.tar.gz(r-4.7-any)DTRreg_2.4.tar.gz(r-4.6-any)
DTRreg_2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DTRreg/json (API)
| # Install 'DTRreg' in R: |
| install.packages('DTRreg', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org')) |
- twoStageCens - Toy Two-Stage Trial Datasets
- twoStageCont - Toy Two-Stage Trial Datasets
- twoStageSurv - Toy Two-Stage Trial Datasets
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b2c2ec7d33. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 132 | ||
| source / vignettes | OK | 189 | ||
| linux-release-x86_64 | OK | 157 | ||
| macos-release-arm64 | OK | 93 | ||
| macos-oldrel-arm64 | OK | 110 | ||
| windows-devel | OK | 88 | ||
| windows-release | OK | 98 | ||
| windows-oldrel | OK | 93 | ||
| wasm-release | OK | 98 |
Dependencies:clicpp11digestfarverfsggplot2ggplotifygluegridGraphicsgtableisobandlabelinglifecyclennetR6rappdirsRColorBrewerrlangS7scalesvctrsviridisLitewithryulab.utils
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Diagnostic Plots for DTR Estimation via autoplot() | autoplot.DTRreg |
| Adaptive Choice of the Bootstrap Resample Size M | chooseM |
| Confidence Interval Calculations for DTRs | confint.DTRreg |
| Toy Two-Stage Trial Datasets | data twoStageCens twoStageCont twoStageSurv |
| DTR Estimation and Inference via G-estimation, Dynamic WOLS, or Q-learning | coef.DTRreg DTRreg print.DTRreg summary.DTRreg |
| DTR estimation and inference for time-to-event data using DWSurv | DWSurv |
| Diagnostic Plots for DTR Estimation | plot.DTRreg |
| Optimal Outcome Prediction for DTRs | predict.DTRreg |
