CRAN/E | visaOTR

visaOTR

Valid Improved Sparsity A-Learning for Optimal Treatment Decision

Installation

About

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+).

Key Metrics

Version 0.1.0
R ≥ 3.5.0
Published 2022-07-08 661 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Zishu Zhan

zishu927@hotmail.com

Authors

Zishu Zhan

aut / cre

Jingxiao Zhang

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5.0

Imports

Rglpk
e1071
kernlab
Matrix
mboost
randomForest
stats
xgboost