PLNmodels
Poisson Lognormal Models
The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, 2021 https://doi.org/10.3389%2Ffevo.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.
- Version1.2.0
- R version≥ 3.4
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- PLNmodels citation info
- Last release03/05/2024
Documentation
- Vignetteimport
- VignetteAnalyzing multivariate count data with the Poisson log-normal model
- VignetteSupervized classification of multivariate count table with the Poisson discriminant Analysis
- VignetteDimension reduction of multivariate count data with PLN-PCA
- VignetteClustering of multivariate count data with PLN-mixture
- VignetteSparse structure estimation for multivariate count data with PLN-network
- VignetteDescription of the Trichoptera data set
- MaterialNEWS
Team
Julien Chiquet
Julie Aubert
Show author detailsRolesContributorGiovanni Poggiato
Show author detailsRolesContributorCole Trapnell
Show author detailsRolesContributorMahendra Mariadassou
Stéphane Robin
Show author detailsRolesAuthorFrançois Gindraud
Show author detailsRolesAuthorBastien Batardière
Show author detailsRolesContributorMaddy Duran
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 645 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 22 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 5,509 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Jul 21, 2024 with 81 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports19 packages
- Suggests6 packages
- Linking To3 packages