StratifiedMedicine: Stratified Medicine

A toolkit for stratified medicine, subgroup identification, and precision medicine. Current tools include (1) filtering models (reduce covariate space), (2) patient-level estimate models (counterfactual patient-level quantities, such as the conditional average treatment effect), (3) subgroup identification models (find subsets of patients with similar treatment effects), and (4) treatment effect estimation and inference (for the overall population and discovered subgroups). These tools can be customized and are directly used in PRISM (patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019 <arXiv:1912.03337>. This package is in beta and will be continually updated.

Version: 1.0.4
Depends: R (≥ 3.6)
Imports: dplyr, partykit, ranger, survival, glmnet, ggplot2, ggparty, mvtnorm, coin
Suggests: knitr, rmarkdown, MASS, BART, pROC, survRM2, TH.data, sandwich, rpart, testthat (≥ 2.1.0)
Published: 2021-09-02
Author: Thomas Jemielita [aut, cre]
Maintainer: Thomas Jemielita <thomasjemielita at gmail.com>
License: GPL-3
URL: https://github.com/thomasjemielita/StratifiedMedicine
NeedsCompilation: no
Materials: README NEWS
CRAN checks: StratifiedMedicine results

Documentation:

Reference manual: StratifiedMedicine.pdf
Vignettes: An Introduction to StratifiedMedicine
User Specific Models

Downloads:

Package source: StratifiedMedicine_1.0.4.tar.gz
Windows binaries: r-devel: StratifiedMedicine_1.0.4.zip, r-release: StratifiedMedicine_1.0.4.zip, r-oldrel: StratifiedMedicine_1.0.4.zip
macOS binaries: r-release (arm64): StratifiedMedicine_1.0.4.tgz, r-release (x86_64): StratifiedMedicine_1.0.4.tgz, r-oldrel: StratifiedMedicine_1.0.4.tgz
Old sources: StratifiedMedicine archive

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