Package: MixedDataImpute
Type: Package
Title: Missing Data Imputation for Continuous and Categorical Data
        using Nonparametric Bayesian Joint Models
Version: 0.1
Date: 2016-02-02
Author: Jared S. Murray
Maintainer: Jared S. Murray <jsmurray@stat.cmu.edu>
Description: Missing data imputation for continuous and categorical data, using nonparametric Bayesian joint models (specifically the hierarchically coupled mixture model with local dependence described in Murray and Reiter (2015); see 'citation("MixedDataImpute")' or http://arxiv.org/abs/1410.0438). See '?hcmm_impute' for example usage. 
License: GPL-3
Imports: methods
Depends: gdata, Rcpp (>= 0.11), R (>= 3.1.0)
LinkingTo: Rcpp, RcppArmadillo, BH
RcppModules: HCMMLD
LazyData: true
NeedsCompilation: yes
Packaged: 2016-02-06 18:49:13 UTC; jared
Repository: CRAN
Date/Publication: 2016-02-07 09:20:13
Built: R 3.3.2; x86_64-w64-mingw32; 2016-12-02 03:43:57 UTC; windows
Archs: i386, x64
