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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.
Getting started
Package overview
Analyzing multivariate count data with the Poisson log-normal model
Clustering of multivariate count data with PLN-mixture
Data importation in PLNmodels
Description of the Trichoptera data set
Dimension reduction of multivariate count data with PLN-PCA
Sparse structure estimation for multivariate count data with PLN-network
Supervized classification of multivariate count table with the Poisson discriminant Analysis
Browse package contents
Package details |
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| Author | 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] |
| Maintainer | Julien Chiquet <julien.chiquet@inrae.fr> |
| License | GPL (>= 3) |
| Version | 1.0.4 |
| URL | https://pln-team.github.io/PLNmodels/ |
| Package repository | View on CRAN |
| Installation |
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