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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 <doi:10.48550/arXiv.1912.03337>. This package is in beta and will be continually updated.
| Version: | 1.0.5 |
| 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: | 2022-03-29 |
| DOI: | 10.32614/CRAN.package.StratifiedMedicine |
| 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 |
| Reference manual: | StratifiedMedicine.pdf |
| Vignettes: |
An Introduction to StratifiedMedicine User Specific Models |
| Package source: | StratifiedMedicine_1.0.5.tar.gz |
| Windows binaries: | r-devel: StratifiedMedicine_1.0.5.zip, r-release: StratifiedMedicine_1.0.5.zip, r-oldrel: StratifiedMedicine_1.0.5.zip |
| macOS binaries: | r-release (arm64): StratifiedMedicine_1.0.5.tgz, r-oldrel (arm64): StratifiedMedicine_1.0.5.tgz, r-release (x86_64): StratifiedMedicine_1.0.5.tgz, r-oldrel (x86_64): StratifiedMedicine_1.0.5.tgz |
| Old sources: | StratifiedMedicine archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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