Package: NNLM
Type: Package
Title: Fast and Versatile Non-Negative Matrix Factorization
Description: 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: 0.4.3
Date: 2019-06-29
Authors@R: c(person("Xihui", "Lin", email = "ericxihuilin@outlook.com", role = c("aut", "cre")),
  person("Paul C Boutros", role = "aut", email = "Paul.Boutros@oicr.on.ca"))
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.11.0), stats, utils
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
LazyData: yes
LazyLoad: yes
Encoding: UTF-8
NeedsCompilation: yes
Suggests: testthat, knitr, rmarkdown, mice, missForest, ISOpureR
VignetteBuilder: knitr
RoxygenNote: 6.1.1
License: BSD_2_clause + file LICENSE
BugReports: https://github.com/linxihui/NNLM/issues
URL: https://github.com/linxihui/NNLM
Packaged: 2019-07-02 12:57:20 UTC; eric
Author: Xihui Lin [aut, cre],
  Paul C Boutros [aut]
Maintainer: Xihui Lin <ericxihuilin@outlook.com>
Repository: CRAN
Date/Publication: 2019-07-02 23:12:38 UTC
Built: R 3.6.1; x86_64-conda_cos6-linux-gnu; 2019-09-16 16:25:20 UTC; unix
