Scalable Bayesian clustering of categorical datasets. The package implements a hierarchical Dirichlet
(Process) mixture of multinomial distributions. It is thus a probabilistic latent class model (LCM) and can be used
to reduce the dimensionality of hierarchical data and cluster individuals into latent classes. It can automatically
infer an appropriate number of latent classes or find k classes, as defined by the user. The model is based on a
paper by Dunson and Xing (2009)
|Author||Constantin Ahlmann-Eltze [aut, cre], Christopher Yau [ths]|
|Date of publication||2018-06-18 16:32:55 UTC|
|Maintainer||Constantin Ahlmann-Eltze <[email protected]>|
|Package repository||View on CRAN|
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