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 |