c(
person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inrae.fr",
comment = c(ORCID = "0000-0002-3629-3429")),
person("Mahendra", "Mariadassou", role = "aut", email = "mahendra.mariadassou@inrae.fr",
comment = c(ORCID = "0000-0003-2986-354X")),
person("Stéphane", "Robin", role ="ctb", email = "stephane.robin@inrae.fr"),
person("Giovanni", "Poggiato", role = "ctb", email = "giov.poggiato@gmail.com"),
person("François", "Gindraud", role = "aut", email = "francois.gindraud@gmail.com")
)
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.
Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>),
Mahendra Mariadassou [aut] (<https://orcid.org/0000-0003-2986-354X>),
Stéphane Robin [ctb],
Giovanni Poggiato [ctb],
François Gindraud [aut]

c(
person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inra.fr",
comment = c(ORCID = "0000-0002-3629-3429")),
person("Mahendra", "Mariadassou", role = "aut", email = "mahendra.mariadassou@inra.fr",
comment = c(ORCID = "0000-0003-2986-354X")),
person("Stéphane", "Robin", role ="ctb", email = "stephane.robin@inra.fr")
)
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.
methods, stats, MASS, parallel, R6, glassoFast, Matrix, Rcpp,
nloptr (>= 1.2.0), igraph, grid, gridExtra, dplyr, tidyr,
ggplot2, corrplot, magrittr, biomformat, phyloseq
knitr, rmarkdown, GGally, testthat, covr, pkgdown