PLNmodels: Poisson Lognormal Models

The Poisson-lognormal model and variants can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data (Chiquet, Mariadassou and Robin, 2018 <doi:10.1214/18-AOAS1177>), discriminant analysis and network inference (Chiquet, Mariadassou and Robin, 2018 <arXiv:1806.03120>). Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.

Version: 0.9.2
Depends: R (≥ 3.4)
Imports: methods, stats, MASS, parallel, R6, glassoFast, Matrix, Rcpp, nloptr (≥ 1.2.0), igraph, grid, gridExtra, dplyr, tidyr, ggplot2, corrplot, magrittr, biomformat, phyloseq
LinkingTo: Rcpp, RcppArmadillo, nloptr (≥ 1.2.0)
Suggests: knitr, rmarkdown, GGally, testthat, covr, pkgdown
Published: 2019-05-17
Author: Julien Chiquet ORCID iD [aut, cre], Mahendra Mariadassou ORCID iD [aut], Stéphane Robin [ctb]
Maintainer: Julien Chiquet <julien.chiquet at inra.fr>
BugReports: https://github.com/jchiquet/PLNmodels/issues
License: GPL (≥ 3)
URL: https://jchiquet.github.io/PLNmodels/
NeedsCompilation: yes
Citation: PLNmodels citation info
Materials: NEWS
CRAN checks: PLNmodels results

Downloads:

Reference manual: PLNmodels.pdf
Vignettes: import
PLN
PLNLDA
PLNnetwork
PLNPCA
trichoptera
Package source: PLNmodels_0.9.2.tar.gz
Windows binaries: r-devel: PLNmodels_0.9.2.zip, r-release: PLNmodels_0.9.2.zip, r-oldrel: PLNmodels_0.9.2.zip
OS X binaries: r-release: not available, r-oldrel: PLNmodels_0.9.2.tgz

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