Non-Parametric Bayesian Multiple Imputation for Categorical Data. These routines create multiple imputations of missing at random categorical data, and create multiply imputed synthesis of categorical data, with or without structural zeros. Imputations and syntheses are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bay
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curl https://depscope.dev/api/check/cran/NPBayesImputeCatFirst published · 2026-03-28 06:37:49
Last updated · 2026-03-28T05:11:46+00:00