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visaOTR  

Valid Improved Sparsity A-Learning for Optimal Treatment Decision
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("visaOTR", "0.1.0")



Attach the package and use:
library("visaOTR")
Maintained by
Zishu Zhan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-08
Latest Update: 2022-07-08
Description:
Valid Improved Sparsity A-Learning (VISA) provides a new method for selecting important variables involved in optimal treatment regime from a multiply robust perspective. The VISA estimator achieves its success by borrowing the strengths of both model averaging (ARM, Yuhong Yang, 2001) <doi:10.1198/016214501753168262> and variable selection (PAL, Chengchun Shi, Ailin Fan, Rui Song and Wenbin Lu, 2018) <doi:10.1214/17-AOS1570>. The package is an implementation of Zishu Zhan and Jingxiao Zhang. (2022+).
How to cite:
Zishu Zhan (2022). visaOTR: Valid Improved Sparsity A-Learning for Optimal Treatment Decision. R package version 0.1.0, https://cran.r-project.org/web/packages/visaOTR. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-07-08 17:20)
Other packages that cited visaOTR R package
View visaOTR citation profile
Other R packages that visaOTR depends, imports, suggests or enhances
Complete documentation for visaOTR
Functions, R codes and Examples using the visaOTR R package
Some associated functions: visa.est . visa_SimuData . 
Some associated R codes: tools.R . visa.est.R . visa.mix.R . visa.weight.R . visa_SimuData.R .  Full visaOTR package functions and examples
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