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: 0.4.1
Date: 2016-01-03
Authors@R: c(person("Xihui", "Lin", email = "xihuil.silence@gmail.com", role = c("aut", "cre")),
  person("Paul C Boutros", role = "aut", email = "Paul.Boutros@oicr.on.ca"))
Depends: R (>= 3.0.1)
Imports: Rcpp (>= 0.11.0), stats, utils
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
LazyData: yes
LazyLoad: yes
NeedsCompilation: yes
Suggests: testthat, knitr, rmarkdown, mice, missForest, ISOpureR
VignetteBuilder: knitr
RoxygenNote: 5.0.0
License: BSD_2_clause + file LICENSE
BugReports: https://github.com/linxihui/NNLM/issues
URL: https://github.com/linxihui/NNLM
Packaged: 2016-01-03 20:14:12 UTC; xlin
Author: Xihui Lin [aut, cre],
  Paul C Boutros [aut]
Maintainer: Xihui Lin <xihuil.silence@gmail.com>
Repository: CRAN
Date/Publication: 2016-01-03 22:50:42
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 07:15:02 UTC; windows
Archs: i386, x64
