The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
We aim for fitting a multinomial regression model with Lasso penalty and doing statistical inference (calculating confidence intervals of coefficients and p-values for individual variables). It implements 1) the coordinate descent algorithm to fit an l1-penalized multinomial regression model (parameterized with a reference level); 2) the debiasing approach to obtain the inference results, which is described in Tian et al. (2023) <doi:10.48550/arXiv.2302.02310>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | foreach, doParallel, stats, Rcpp, nnet, magrittr, utils |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown |
| Published: | 2023-02-16 |
| DOI: | 10.32614/CRAN.package.pemultinom |
| Author: | Ye Tian [aut, cre], Henry Rusinek [aut], Arjun V. Masurkar [aut], Yang Feng [aut] |
| Maintainer: | Ye Tian <ye.t at columbia.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | pemultinom results |
| Reference manual: | pemultinom.pdf |
| Package source: | pemultinom_0.1.0.tar.gz |
| Windows binaries: | r-devel: pemultinom_0.1.0.zip, r-release: pemultinom_0.1.0.zip, r-oldrel: pemultinom_0.1.0.zip |
| macOS binaries: | r-release (arm64): pemultinom_0.1.0.tgz, r-oldrel (arm64): pemultinom_0.1.0.tgz, r-release (x86_64): pemultinom_0.1.0.tgz, r-oldrel (x86_64): pemultinom_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=pemultinom to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.