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ITRSelect  

Variable Selection for Optimal Individualized Dynamic Treatment Regime
View on CRAN: Click here


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

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

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



Attach the package and use:
library("ITRSelect")
Maintained by
Chengchun Shi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-30
Latest Update: 2023-08-19
Description:
Sequential advantage selection (SAS, Fan, Lu and Song, 2016) and penalized A-learning (PAL, Shi, et al., 2018) methods are implement for selecting important variables involved in optimal individualized (dynamic) treatment regime in both single-stage or multi-stage studies.
How to cite:
Chengchun Shi (2018). ITRSelect: Variable Selection for Optimal Individualized Dynamic Treatment Regime. R package version 1.0-1, https://cran.r-project.org/web/packages/ITRSelect. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0-1 (2018-09-24 06:20), 1.0 (2018-04-30 20:08)
Other packages that cited ITRSelect R package
View ITRSelect citation profile
Other R packages that ITRSelect depends, imports, suggests or enhances
Functions, R codes and Examples using the ITRSelect R package
Some associated functions: ITRSelect-package . PAL.control . PAL . SAS . SSTARD.onestage . SSTARD.twostage . TR . 
Some associated R codes: PAL.R . PAL.control.R . PAL.fit.R . SAS.R . SAS.fit.R . TR.R .  Full ITRSelect package functions and examples
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