PReMiuM

swMATH14746MaRDI QIDQ26643

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Source code repository: https://github.com/cran/PReMiuM

Described by source

• Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations
• Clustering method for censored and collinear survival data

Related Items (7)

Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics ⋮ An up-to-date review of scan statistics ⋮ Model-based clustering based on sparse finite Gaussian mixtures ⋮ Modeling the Association Between Clusters of SNPs and Disease Responses ⋮ Optimal Bayesian clustering using non-negative matrix factorization ⋮ Simple Measures of Individual Cluster-Membership Certainty for Hard Partitional Clustering ⋮ Exploring dependence between categorical variables: benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms

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