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:
npmr_1.3.1.tar.gz
npmr_1.3.1.zip(r-4.7)npmr_1.3.1.zip(r-4.6)npmr_1.3.1.zip(r-4.5)
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✨
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
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d4f7f5741f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 114 | ||
| source / vignettes | OK | 144 | ||
| linux-release-x86_64 | OK | 115 | ||
| macos-release-arm64 | OK | 89 | ||
| macos-oldrel-arm64 | OK | 95 | ||
| windows-devel | OK | 101 | ||
| windows-release | OK | 235 | ||
| windows-oldrel | OK | 97 | ||
| wasm-release | OK | 93 |
Exports:cv.npmrlogLnpmrnuclearobjectiveobjectiveFastPGDnpmrplot.cv.npmrplot.npmrpredict.cv.npmrpredict.npmrprint.cv.npmrprint.npmrprox
