Package: pemultinom 0.1.0

pemultinom: L1-Penalized Multinomial Regression with Statistical Inference

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) <arxiv:2302.02310>.

Authors:Ye Tian [aut, cre], Henry Rusinek [aut], Arjun V. Masurkar [aut], Yang Feng [aut]

pemultinom_0.1.0.tar.gz
pemultinom_0.1.0.zip(r-4.5)pemultinom_0.1.0.zip(r-4.4)pemultinom_0.1.0.zip(r-4.3)
pemultinom_0.1.0.tgz(r-4.4-x86_64)pemultinom_0.1.0.tgz(r-4.4-arm64)pemultinom_0.1.0.tgz(r-4.3-x86_64)pemultinom_0.1.0.tgz(r-4.3-arm64)
pemultinom_0.1.0.tar.gz(r-4.5-noble)pemultinom_0.1.0.tar.gz(r-4.4-noble)
pemultinom_0.1.0.tgz(r-4.4-emscripten)pemultinom_0.1.0.tgz(r-4.3-emscripten)
pemultinom.pdf |pemultinom.html
pemultinom/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

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 9 scripts 168 downloads 3 exports 7 dependencies

Last updated 2 years agofrom:8572ebd265. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:cv.pemultinomdebiased_lassopredict_pemultinom

Dependencies:codetoolsdoParallelforeachiteratorsmagrittrnnetRcpp