Package: npmr 1.3.1

npmr: Nuclear Penalized Multinomial Regression

Fit multinomial logistic regression with a penalty on the nuclear norm of the estimated regression coefficient matrix, using proximal gradient descent.

Authors:Scott Powers, Trevor Hastie, Robert Tibshirani

npmr_1.3.1.tar.gz
npmr_1.3.1.zip(r-4.7-any)npmr_1.3.1.zip(r-4.6-any)npmr_1.3.1.zip(r-4.5-any)
npmr_1.3.1.tgz(r-4.6-any)npmr_1.3.1.tgz(r-4.5-any)
npmr_1.3.1.tar.gz(r-4.7-any)npmr_1.3.1.tar.gz(r-4.6-any)
npmr_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
npmr/json (API)

# Install 'npmr' in R:
install.packages('npmr', repos = c('https://saberpowers.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Vowel - Vowel Recognition

On CRAN:

Conda:

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

1.11 score 13 scripts 245 downloads 14 exports 2 dependencies

Last updated from:d4f7f5741f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK116
source / vignettesOK162
linux-release-x86_64OK128
macos-release-arm64OK98
macos-oldrel-arm64OK116
windows-develOK92
windows-releaseOK88
windows-oldrelOK84
wasm-releaseOK98

Exports:cv.npmrlogLnpmrnuclearobjectiveobjectiveFastPGDnpmrplot.cv.npmrplot.npmrpredict.cv.npmrpredict.npmrprint.cv.npmrprint.npmrprox

Dependencies:latticeMatrix