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: | 0.4.2 |
| Depends: | R (≥ 3.0.1) |
| Imports: | Rcpp (≥ 0.11.0), stats, utils |
| LinkingTo: | Rcpp, RcppArmadillo, RcppProgress |
| Suggests: | testthat, knitr, rmarkdown, mice, missForest, ISOpureR |
| Published: | 2018-06-18 |
| Author: | Xihui Lin [aut, cre], Paul C Boutros [aut] |
| Maintainer: | Xihui Lin <ericxihuilin 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 |
| In views: | MissingData |
| CRAN checks: | NNLM results |
| Reference manual: | NNLM.pdf |
| Vignettes: |
Fast and versatile NMF |
| Package source: | NNLM_0.4.2.tar.gz |
| Windows binaries: | r-devel: NNLM_0.4.2.zip, r-release: NNLM_0.4.2.zip, r-oldrel: NNLM_0.4.2.zip |
| OS X binaries: | r-release: NNLM_0.4.2.tgz, r-oldrel: NNLM_0.4.2.tgz |
| Old sources: | NNLM archive |
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