doi:10.3389/fevo.2021.588292>) can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data, discriminant analysis, model-based clustering and network inference. Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.">

PLNmodels: Poisson Lognormal Models (original) (raw)

The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, 2021 <doi:10.3389/fevo.2021.588292>) can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data, discriminant analysis, model-based clustering and network inference. Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.

Version: 1.2.2
Depends: R (≥ 4.1.0)
Imports: cli, corrplot, dplyr, future, future.apply, ggplot2, glassoFast, grDevices, grid, gridExtra, igraph, magrittr, MASS, Matrix, methods, nloptr, parallel, pscl, purrr, R6, Rcpp, rlang, scales, stats, tidyr, torch
LinkingTo: nloptr, Rcpp, RcppArmadillo
Suggests: factoextra, knitr, rmarkdown, spelling, testthat
Published: 2025-03-21
DOI: 10.32614/CRAN.package.PLNmodels
Author: Julien Chiquet ORCID iD [aut, cre], Mahendra MariadassouORCID iD [aut], Stéphane Robin [aut], François Gindraud [aut], Julie Aubert [ctb], Bastien Batardière [ctb], Giovanni Poggiato [ctb], Cole Trapnell [ctb], Maddy Duran [ctb]
Maintainer: Julien Chiquet <julien.chiquet at inrae.fr>
BugReports: https://github.com/pln-team/PLNmodels/issues
License: GPL (≥ 3)
URL: https://pln-team.github.io/PLNmodels/
NeedsCompilation: yes
Language: en-US
Citation: PLNmodels citation info
Materials: NEWS
CRAN checks: PLNmodels results

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