Package: poismf
Type: Package
Title: Factorization of Sparse Counts Matrices Through Poisson
        Likelihood
Version: 0.4.0-3
Authors@R: c(
  person(given="David", family="Cortes", role=c("aut", "cre", "cph"),
         email="david.cortes.rivera@gmail.com"),
  person(given="Jean-Sebastien", family="Roy", role="cph",
         comment="Copyright holder of included tnc library"),
  person(given="Stephen", family="Nash", role="cph",
         comment="Copyright holder of included tnc library")
  )
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
URL: https://github.com/david-cortes/poismf
BugReports: https://github.com/david-cortes/poismf/issues
Description: Creates a non-negative low-rank approximate factorization
        of a sparse counts matrix by maximizing Poisson likelihood with
        L1/L2 regularization (e.g. for implicit-feedback recommender
        systems or bag-of-words-based topic modeling) (Cortes, (2018)
        <arXiv:1811.01908>), which usually leads to very sparse user
        and item factors (over 90% zero-valued). Similar to
        hierarchical Poisson factorization (HPF), but follows an
        optimization-based approach with regularization instead of a
        hierarchical prior, and is fit through gradient-based methods
        instead of variational inference.
License: BSD_2_clause + file LICENSE
Imports: Matrix (>= 1.3), methods
RoxygenNote: 7.2.1
NeedsCompilation: yes
Encoding: UTF-8
Repository: https://david-cortes.r-universe.dev
Date/Publication: 2025-05-09 18:33:43 UTC
RemoteUrl: https://github.com/david-cortes/poismf
RemoteRef: HEAD
RemoteSha: 84afd2232f014049ea40546ef515d95329f9de2a
Packaged: 2026-06-03 10:47:58 UTC; root
Author: David Cortes [aut, cre, cph],
  Jean-Sebastien Roy [cph] (Copyright holder of included tnc library),
  Stephen Nash [cph] (Copyright holder of included tnc library)