Deep Gaussian Mixture Models R package deepgmm version 0.2.1 Deep Gaussian mixture models as proposed by Viroli and McLachlan (2019) <doi:10.1007/s11222-017-9793-z> provide a generalization of classical Gaussian mixtures to multiple layers. Each layer contains a set of latent variables that follow a mixture of Gaussian distributions. To avoid overparameterized solutions, dimension reduction is applied at each layer by way of factor models. Software Imports: mvtnorm, corpcor, mclust Suren Rathnayake <surenr@gmail.com> Comprehensive R Archive Network (CRAN) Cinzia Viroli, Geoffrey J. McLachlan GPL (>= 3) 2022-11-20 application/tgz https://CRAN.R-project.org/package=deepgmm doi:10.32614/CRAN.package.deepgmm