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ITRLearn  

Statistical Learning for Individualized Treatment Regime
View on CRAN: Click here


Download and install ITRLearn package within the R console
Install from CRAN:
install.packages("ITRLearn")

Install from Github:
library("remotes")
install_github("cran/ITRLearn")

Install by package version:
library("remotes")
install_version("ITRLearn", "1.0-1")



Attach the package and use:
library("ITRLearn")
Maintained by
Chengchun Shi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-30
Latest Update: 2023-08-19
Description:
Maximin-projection learning (MPL, Shi, et al., 2018) is implemented for recommending a meaningful and reliable individualized treatment regime for future groups of patients based on the observed data from different populations with heterogeneity in individualized decision making. Q-learning and A-learning are implemented for estimating the groupwise contrast function that shares the same marginal treatment effects. The packages contains classical Q-learning and A-learning algorithms for a single stage study as a byproduct. More functions will be added at later versions.
How to cite:
Chengchun Shi (2018). ITRLearn: Statistical Learning for Individualized Treatment Regime. R package version 1.0-1, https://cran.r-project.org/web/packages/ITRLearn
Previous versions and publish date:
1.0-1 (2018-11-15 06:10), 1.0 (2018-10-30 19:40)
Other packages that cited ITRLearn R package
View ITRLearn citation profile
Other R packages that ITRLearn depends, imports, suggests or enhances
Functions, R codes and Examples using the ITRLearn R package
Some associated functions: ITRLearn-package . MPL.control . MPL . TR . maximin . 
Some associated R codes: MPL.R . MPL.control.R . MPL.fit.R . TR.R . maximin.R .  Full ITRLearn package functions and examples
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