High dimensional count data are complex to analyze as is, and normalization must be performed, but standard normalization does not fit the characteristics of count data. The Poisson LogNormal (PLN) and its Principal Component Analysis variant PLN-PCA are two-sided latent variable models allowing both suitable normalization and analysis of multivariate count data, implemented in this package.