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Nuclear Penalized Multinomial Regression
View on CRAN: Click here


Download and install npmr package within the R console
Install from CRAN:
install.packages("npmr")

Install from Github:
library("remotes")
install_github("cran/npmr")

Install by package version:
library("remotes")
install_version("npmr", "1.3.1")



Attach the package and use:
library("npmr")
Maintained by
Scott Powers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-10
Latest Update: 2023-11-11
Description:
Fit multinomial logistic regression with a penalty on the nuclear norm of the estimated regression coefficient matrix, using proximal gradient descent.
How to cite:
Scott Powers (2016). npmr: Nuclear Penalized Multinomial Regression. R package version 1.3.1, https://cran.r-project.org/web/packages/npmr. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0 (2016-02-10 18:57), 1.1 (2016-08-03 10:09), 1.2 (2019-02-02 23:10), 1.3 (2023-10-08 01:10)
Other packages that cited npmr R package
View npmr citation profile
Other R packages that npmr depends, imports, suggests or enhances
Complete documentation for npmr
Functions, R codes and Examples using the npmr R package
Some associated functions: PGDnpmr . Vowel . cv.npmr . logL . npmr-package . npmr . nuclear . objective . objectiveFast . plot.cv.npmr . plot.npmr . predict.cv.npmr . predict.npmr . print.cv.npmr . print.npmr . prox . 
Some associated R codes: PGDnpmr.R . cv.npmr.R . logL.R . npmr.R . nuclear.R . objective.R . objectiveFast.R . plot.cv.npmr.R . plot.npmr.R . predict.cv.npmr.R . predict.npmr.R . print.cv.npmr.R . print.npmr.R . prox.R .  Full npmr package functions and examples
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