Package: StratifiedMedicine 1.0.5

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.

Authors:Thomas Jemielita [aut, cre]

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NEWS

# Install 'StratifiedMedicine' in R:
install.packages('StratifiedMedicine', repos = c('https://thomasjemielita.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/thomasjemielita/stratifiedmedicine/issues

On CRAN:

11 exports 2 stars 0.84 score 56 dependencies 27 scripts 290 downloads

Last updated 2 years agofrom:d2e4cfd709. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winWARNINGSep 10 2024
R-4.5-linuxWARNINGSep 10 2024
R-4.4-winWARNINGSep 10 2024
R-4.4-macWARNINGSep 10 2024
R-4.3-winWARNINGSep 10 2024
R-4.3-macWARNINGSep 10 2024

Exports:filter_traingenerate_subgrp_dataparam_combineparam_estple_trainplot_dependenceplot_importanceplot_pleplot_treePRISMsubmod_train

Dependencies:backportscheckmateclicodetoolscoincolorspacedplyrfansifarverforeachFormulagenericsggpartyggplot2glmnetgluegtableinumisobanditeratorslabelinglatticelibcoinlifecyclemagrittrMASSMatrixmatrixStatsmgcvmodeltoolsmultcompmunsellmvtnormnlmepartykitpillarpkgconfigR6rangerRColorBrewerRcppRcppEigenrlangrpartsandwichscalesshapesurvivalTH.datatibbletidyselectutf8vctrsviridisLitewithrzoo

An Introduction to StratifiedMedicine

Rendered fromSM_PRISM.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2022-04-03
Started: 2019-06-18

User Specific Models

Rendered fromSM_User_Models.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2022-04-03
Started: 2019-10-09