Package: CMF
Type: Package
Title: Collective Matrix Factorization
Version: 1.0.1
Date: 2020-03-12
Author: Arto Klami and Lauri Väre
Maintainer: Felix Held <felix.held@chalmers.se>
Description: Collective matrix factorization (CMF) finds joint low-rank
	representations for a collection of matrices with shared row or column
	entities. This code learns variational Bayesian approximation for CMF,
	supporting multiple likelihood potentials and missing data, while
	identifying both factors shared by multiple matrices and factors private
	for each matrix.
License: GPL (>= 2)
Imports: Rcpp, stats
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
RoxygenNote: 7.1.0
Packaged: 2020-03-12 14:15:24 UTC; hefelix
Repository: CRAN
Date/Publication: 2020-03-12 16:10:19 UTC
