Package: MultiRobust 1.0.5
MultiRobust: Multiply Robust Methods for Missing Data Problems
Multiply robust estimation for population mean (Han and Wang 2013) <doi:10.1093/biomet/ass087>, regression analysis (Han 2014) <doi:10.1080/01621459.2014.880058> (Han 2016) <doi:10.1111/sjos.12177> and quantile regression (Han et al. 2019) <doi:10.1111/rssb.12309>.
Authors:
MultiRobust_1.0.5.tar.gz
MultiRobust_1.0.5.zip(r-4.5)MultiRobust_1.0.5.zip(r-4.4)MultiRobust_1.0.5.zip(r-4.3)
MultiRobust_1.0.5.tgz(r-4.4-any)MultiRobust_1.0.5.tgz(r-4.3-any)
MultiRobust_1.0.5.tar.gz(r-4.5-noble)MultiRobust_1.0.5.tar.gz(r-4.4-noble)
MultiRobust_1.0.5.tgz(r-4.4-emscripten)MultiRobust_1.0.5.tgz(r-4.3-emscripten)
MultiRobust.pdf |MultiRobust.html✨
MultiRobust/json (API)
| # Install 'MultiRobust' in R: |
| install.packages('MultiRobust', repos = c('https://praetere.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:065470a2c8. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:glm.workMR.meanMR.quantileMR.quantregMR.reg
Dependencies:
