NNLM (0.4.1)

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Fast and Versatile Non-Negative Matrix Factorization.

https://github.com/linxihui/NNLM
http://cran.r-project.org/web/packages/NNLM

This is a package for Non-Negative Linear Models (NNLM). It implements fast sequential coordinate descent algorithms for non-negative linear regression and non-negative matrix factorization (NMF). It supports mean square error and Kullback-Leibler divergence loss. Many other features are also implemented, including missing value imputation, domain knowledge integration, designable W and H matrices and multiple forms of regularizations.

Maintainer: Xihui Lin
Author(s): Xihui Lin [aut, cre], Paul C Boutros [aut]

License: BSD_2_clause + file LICENSE

Uses: Rcpp, mice, testthat, missForest, knitr, rmarkdown, ISOpureR

Released about 1 year ago.


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