API documentation
PLN models encompass a range of models designed to analyze count data, all based on the Poisson-Lognormal distribution. Each model has unique characteristics and serves different purposes. Covariates and offsets may be included in the models.
The .transform() method is available for all models, extracting variables with more signal than the counts.
Models
Pln (Poisson-Lognormal)
ZIPln (Zero-Inflated Pln)
PlnPCA (Dimension reduction)
PlnPCACollection (Dimension reduction)
PlnAR (AutoRegressive Pln)
PlnLDA (supervised clustering)
PlnMixture (Unsupervised clustering)
PlnNetwork (Network inference)
ZIPlnPCA (Zero-Inflation and dimension reduction)
PlnDiag (Diagonal covariance matrix PLN)