Title: Generation of Multivariate Data with Arbitrary Marginals
Authors@R: person("Po", "Su", email = "desolator@sjtu.edu.cn",
Description: An implementation of a specific method for generating
n-dimensional random vectors with given marginal distributions and
correlation matrix. The method uses the NORTA (NORmal To Anything)
approach which generates a standard normal random vector and then
transforms it into a random vector with specified marginal distributions
and the RA (Retrospective Approximation) algorithm which is a generic
stochastic root-finding algorithm. The marginals can be continuous or
discrete. See the vignette of package for more details.
Imports: corpcor(>= 1.6.7), Matrix(>= 1.1-4)
Packaged: 2014-12-20 14:29:55 UTC; Administrator

Title: Non-parametric Bayesian Multiple Imputation for Categorical Data
Author: Quanli Wang, Daniel Manrique-Vallier, Jerome P. Reiter and Jingchen Hu
Description: These routines create multiple imputations of missing at random categorical data, with or without structural zeros. Imputations are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bayesian modeling approach that allows for flexible joint modeling.

Title: Non-Parametric Bayesian Multiple Imputation for Categorical Data

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.
Packaged: 2018-11-09 18:15:56 UTC; jingchenmonikahu

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>.
Packaged: 2019-11-08 19:43:47 UTC; jingchenmonikahu