Package: NPBayesImputeCat
Type: Package
Title: Non-Parametric Bayesian Multiple Imputation for Categorical Data
Version: 0.7
Date: 2026-3-26
Authors@R: c(person(given = "Quanli",
                        family = "Wang",
                        role = "aut"),
                 person(given = "Daniel",
                        family = "Manrique-Vallier",
                        role = "aut"),
                 person(given = c("Jerome", "P."),
                        family = "Reiter",
                        role = "aut"),
                 person(given = "Jingchen",
                        family = "Hu",
                        role = c("aut", "cre"),
                        email = "jingchen.monika.hu@gmail.com"))
Maintainer: Jingchen Hu <jingchen.monika.hu@gmail.com>
Description: 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 Bayesian modeling approach that allows for
        flexible joint modeling, described in Manrique-Vallier and
        Reiter (2014) <doi:10.1080/10618600.2013.844700>.
License: GPL (>= 3)
Imports: methods, rlang, reshape2, ggplot2, dplyr, bayesplot, coda,
        Rcpp
LinkingTo: Rcpp
RcppModules: clcm
NeedsCompilation: yes
Packaged: 2026-06-23 16:12:44 UTC; root
Author: Quanli Wang [aut], Daniel Manrique-Vallier [aut], Jerome P.
        Reiter [aut], Jingchen Hu [aut, cre]
Repository: https://cran.r-universe.dev
Date/Publication: 2026-03-28 07:57:24 UTC
RemoteUrl: https://github.com/cran/NPBayesImputeCat
RemoteRef: HEAD
RemoteSha: b39a4bf71708099b6d35695fe648b341e6259f5f