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Creates a lowrank factorization of a sparse counts matrix by maximizing Poisson likelihood with l1/l2 regularization with all nonnegative latent factors (e.g. for recommender systems or topic modeling) (Cortes, (2018) <arXiv:1811.01908>). Similar to hierarchical Poisson factorization, but follows an optimizationbased approach with regularization instead of a hierarchical structure, and is fit through gradientbased methods instead of variational inference.
Package details 


Author  David Cortes [aut, cre, cph], JeanSebastien Roy [cph], Stephen Nash [cph] 
Maintainer  David Cortes <david.cortes.rivera@gmail.com> 
License  BSD_2_clause + file LICENSE 
Version  0.2.7 
URL  https://github.com/davidcortes/poismf 
Package repository  View on CRAN 
Installation 
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