The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, 2021 tools:::Rd_expr_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.
Maintainer: Julien Chiquet julien.chiquet@inrae.fr (ORCID)
Authors:
Mahendra Mariadassou mahendra.mariadassou@inrae.fr (ORCID)
Stéphane Robin stephane.robin@inrae.fr
François Gindraud francois.gindraud@gmail.com
Other contributors:
Julie Aubert julie.aubert@inrae.fr [contributor]
Bastien Batardière bastien.batardiere@inrae.fr [contributor]
Giovanni Poggiato giov.poggiato@gmail.com [contributor]
Cole Trapnell coletrap@uw.edu [contributor]
Maddy Duran duran@uw.edu [contributor]
Useful links: