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:Shixiao Zhang and Peisong Han

MultiRobust_1.0.5.tar.gz
MultiRobust_1.0.5.zip(r-4.7)MultiRobust_1.0.5.zip(r-4.6)MultiRobust_1.0.5.zip(r-4.5)
MultiRobust_1.0.5.tgz(r-4.6-any)MultiRobust_1.0.5.tgz(r-4.5-any)
MultiRobust_1.0.5.tar.gz(r-4.7-any)MultiRobust_1.0.5.tar.gz(r-4.6-any)
MultiRobust_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MultiRobust/json (API)

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

On CRAN:

Conda:

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

1.00 score 6 scripts 151 downloads 5 exports 0 dependencies

Last updated from:065470a2c8. Checks:6 OK, 3 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK102
source / vignettesOK192
linux-release-x86_64OK93
macos-release-arm64FAIL74
macos-oldrel-arm64FAIL30
windows-develOK69
windows-releaseOK85
windows-oldrelFAIL41
wasm-releaseOK83

Exports:glm.workMR.meanMR.quantileMR.quantregMR.reg

Dependencies: