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StratifiedMedicine
View on CRAN: Click
here
Download and install StratifiedMedicine package within the R console
Install from CRAN:
install.packages("StratifiedMedicine")
Install from Github:
library("remotes")
install_github("cran/StratifiedMedicine")
Install by package version:
library("remotes")
install_version("StratifiedMedicine", "1.0.5")
Attach the package and use:
library("StratifiedMedicine")
Maintained by
Thomas Jemielita
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.StratifiedMedicine . https://github.com/thomasjemielita/StratifiedMedicine . StratifiedMedicine results . StratifiedMedicine.pdf . An Introduction to StratifiedMedicine . StratifiedMedicine_1.0.5.tar.gz . StratifiedMedicine_1.0.5.zip . StratifiedMedicine_1.0.5.zip . StratifiedMedicine_1.0.5.zip . StratifiedMedicine_1.0.5.tgz . StratifiedMedicine_1.0.5.tgz . StratifiedMedicine_1.0.5.tgz . StratifiedMedicine_1.0.5.tgz . StratifiedMedicine archive . https://CRAN.R-project.org/package=StratifiedMedicine .
First Published: 2019-06-19
Latest Update: 2022-03-29
Description:
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.
How to cite:
Thomas Jemielita (2019). StratifiedMedicine: Stratified Medicine. R package version 1.0.5, https://cran.r-project.org/web/packages/StratifiedMedicine. Accessed 25 Apr. 2025.
Previous versions and publish date:
0.1.0 (2019-06-19 11:50), 0.1.1 (2019-07-22 15:00), 0.1.2 (2019-08-19 18:20), 0.1.3 (2019-09-04 16:20), 0.2.0 (2019-10-13 23:30), 0.2.1 (2019-12-12 06:40), 0.2.2 (2020-03-01 07:50), 0.2.3 (2020-04-22 14:02), 1.0.0 (2020-06-10 16:00), 1.0.1 (2020-06-17 23:20), 1.0.2 (2020-08-03 07:40), 1.0.3 (2021-01-07 06:50), 1.0.4 (2021-09-02 23:30)
Other packages that cited StratifiedMedicine R package
View StratifiedMedicine citation profile
Other R packages that StratifiedMedicine depends,
imports, suggests or enhances
Complete documentation for StratifiedMedicine
Functions, R codes and Examples using
the StratifiedMedicine R package
Some associated functions: PRISM . filter_train . generate_subgrp_data . param_combine . param_est . ple_train . plot.PRISM . plot_dependence . plot_importance . plot_ple . plot_tree . predict.PRISM . predict.ple_train . predict.submod_train . submod_train . summary.PRISM . summary.submod_train .
Some associated R codes: PRISM.R . PRISM_train.R . filter_train.R . generate_subgrp_data.R . learners.R . meta_learners.R . param_combine.R . param_est.R . ple_train.R . plot.R . plot_dependence.R . plot_forest.R . plot_importance.R . plot_ple.R . plot_resample.R . plot_tree.R . pooler.R . resampler_general.R . subgrp_stability.R . submod_train.R . utils.R . Full StratifiedMedicine package functions and examples
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