PLNmodels: Poisson Lognormal Models

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: 0.11.7
Depends: R (≥ 3.4)
Imports: methods, stats, MASS, future, future.apply, R6, glassoFast, Matrix, Rcpp, nloptr, igraph, grid, gridExtra, dplyr, tidyr, purrr, ggplot2, corrplot, magrittr, rlang
LinkingTo: Rcpp, RcppArmadillo, nloptr
Suggests: knitr, rmarkdown, testthat, covr, pkgdown, biomformat, phyloseq, spelling, factoextra, Wrench
Published: 2022-08-25
Author: Julien Chiquet ORCID iD [aut, cre], Mahendra Mariadassou ORCID iD [aut], Stéphane Robin [ctb], Giovanni Poggiato [ctb], François Gindraud [aut]
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

Documentation:

Reference manual: PLNmodels.pdf
Vignettes: import
PLN
PLNLDA
PLNPCA
PLNmixture
PLNnetwork
trichoptera

Downloads:

Package source: PLNmodels_0.11.7.tar.gz
Windows binaries: r-devel: PLNmodels_0.11.7.zip, r-release: PLNmodels_0.11.7.zip, r-oldrel: PLNmodels_0.11.7.zip
macOS binaries: r-release (arm64): PLNmodels_0.11.7.tgz, r-oldrel (arm64): PLNmodels_0.11.7.tgz, r-release (x86_64): PLNmodels_0.11.7.tgz, r-oldrel (x86_64): PLNmodels_0.11.7.tgz
Old sources: PLNmodels archive

Linking:

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