PReMiuM
cranv3.2.13Dirichlet Process Bayesian Clustering, Profile Regression. Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically linking a response vector to covariate data through cluster membership. The package allows Bernoulli, Binomial, Poisson, Normal, survival and categorical response, as we
License GPL-2strong copyleft0 versions1 maintainers8 deps123 weekly dl
https://CRAN.R-project.org/package=PReMiuM36
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curl https://depscope.dev/api/check/cran/PReMiuMFirst published · 2024-01-09 14:39:27
Last updated · 2024-01-09T12:30:09+00:00