Package: visaOTR 0.1.0

visaOTR: Valid Improved Sparsity A-Learning for Optimal Treatment Decision

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+).

Authors:Zishu Zhan [aut, cre], Jingxiao Zhang [aut]

visaOTR_0.1.0.tar.gz
visaOTR_0.1.0.zip(r-4.5)visaOTR_0.1.0.zip(r-4.4)visaOTR_0.1.0.zip(r-4.3)
visaOTR_0.1.0.tgz(r-4.4-any)visaOTR_0.1.0.tgz(r-4.3-any)
visaOTR_0.1.0.tar.gz(r-4.5-noble)visaOTR_0.1.0.tar.gz(r-4.4-noble)
visaOTR_0.1.0.tgz(r-4.4-emscripten)visaOTR_0.1.0.tgz(r-4.3-emscripten)
visaOTR.pdf |visaOTR.html✨
visaOTR/json (API)

# Install 'visaOTR' in R:
install.packages('visaOTR', repos = c('https://treerlikesu.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 118 downloads 1 exports 24 dependencies

Last updated 2 years agofrom:5a74b50e68. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:visa.est

Dependencies:classdata.tablee1071FormulainumjsonlitekernlablatticelibcoinMASSMatrixmboostmvtnormnnlspartykitproxyquadprograndomForestRglpkrpartslamstabssurvivalxgboost