Package: visaOTR 0.1.0
Zishu Zhan
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:
visaOTR_0.1.0.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- visa_SimuData - Visa_SimuData
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:5a74b50e68. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 02 2024 |
| R-4.5-linux | OK | Sep 02 2024 |
Exports:visa.est
Dependencies:classdata.tablee1071FormulainumjsonlitekernlablatticelibcoinMASSMatrixmboostmvtnormnnlspartykitproxyquadprograndomForestRglpkrpartslamstabssurvivalxgboost
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| visa_SimuData | visa_SimuData |
| Valid Improved Sparsity A-Learning for Optimal Treatment Decision | visa.est |