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, for example the individual treatment effect), (3) subgroup identification models (find subsets of patients with similar treatment effects), and (4) parameter estimation and inference (for the overall population and discovered subgroups). These tools can directly feed into stratified medicine algorithms including PRISM (patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019 (in progress)). PRISM is a flexible and general framework which accepts user-created models/functions. This package is in beta and will be continually updated.

Version: 0.2.0
Depends: R (≥ 3.4)
Imports: dplyr, partykit, ranger, survival, glmnet, ggplot2, ggparty, mvtnorm
Suggests: knitr, rmarkdown, MASS, zoo, BART, grf, survRM2, TH.data, coin, rpart, testthat (≥ 2.1.0)
Published: 2019-10-13
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
CRAN checks: StratifiedMedicine results

Downloads:

Reference manual: StratifiedMedicine.pdf
Vignettes: Introduction_and_basics_PRISM
User_Specific_Models_PRISM
Package source: StratifiedMedicine_0.2.0.tar.gz
Windows binaries: r-devel: StratifiedMedicine_0.2.0.zip, r-release: StratifiedMedicine_0.2.0.zip, r-oldrel: StratifiedMedicine_0.2.0.zip
OS X binaries: r-release: StratifiedMedicine_0.2.0.tgz, r-oldrel: StratifiedMedicine_0.2.0.tgz
Old sources: StratifiedMedicine archive

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