This package is deprecated and no longer maintained!
This R package intends to solve Nonnegative Matrix Factorization efficiently. The algorithm bases on alternating least squares while solving nonnegative constrained regression via coordinate descent. The coordinate descent method is modified from glmnet (See Regularization Paths for Generalized Linear Models via Coordinate Descent, by J Friedman et al. 2010).
The inner part of the algorithm is implemented in C++. This package is currently tested only on Ubuntu.
##How to install
In Linux teminal, go to some directory:
Download it with:
git clone https://github.com/panlanfeng/bignmf.git
R CMD build bignmf
Then in R:
install.packages("~/mypackages/bignmf_0.1.tar.gz", repos = NULL, type = "source") library(bignmf)