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.
Version: | 0.4.1 |
Depends: | R (≥ 3.0.1) |
Imports: | Rcpp (≥ 0.11.0), stats, utils |
LinkingTo: | Rcpp, RcppArmadillo, RcppProgress |
Suggests: | testthat, knitr, rmarkdown, mice, missForest, ISOpureR |
Published: | 2016-01-03 |
Author: | Xihui Lin [aut, cre], Paul C Boutros [aut] |
Maintainer: | Xihui Lin <xihuil.silence at gmail.com> |
BugReports: | https://github.com/linxihui/NNLM/issues |
License: | BSD_2_clause + file LICENSE |
URL: | https://github.com/linxihui/NNLM |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | NNLM results |
Reference manual: | NNLM.pdf |
Vignettes: |
Fast and versatile NMF |
Package source: | NNLM_0.4.1.tar.gz |
Windows binaries: | r-devel: NNLM_0.4.1.zip, r-release: NNLM_0.4.1.zip, r-oldrel: NNLM_0.4.1.zip |
OS X Mavericks binaries: | r-release: NNLM_0.4.1.tgz, r-oldrel: NNLM_0.4.1.tgz |
Old sources: | NNLM archive |
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