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ITRLearn
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]
[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
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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