deepgmm (version 0.2.1)

Deep Gaussian Mixture Models

Description

Deep Gaussian mixture models as proposed by Viroli and McLachlan (2019) 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.

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install.packages('deepgmm')

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196

Version

0.2.1

License

GPL (>= 3)

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Last Published

November 20th, 2022

Functions in deepgmm (0.2.1)