MixedDataImpute: Missing data imputation for continuous and categorical data...
In MixedDataImpute: Missing Data Imputation for Continuous and Categorical Data using Nonparametric Bayesian Joint Models
Description
Missing data imputation for continuous and categorical data, using nonparametric Bayesian joint models (specifically the hierarchcially coupled mixture model with local dependence described in Murray and Reiter (2015); see citation(NPBayesMixedDataImpute)).
MixedDataImpute documentation built on May 1, 2019, 9:29 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Missing data imputation for continuous and categorical data, using nonparametric Bayesian joint models (specifically the hierarchcially coupled mixture model with local dependence described in Murray and Reiter (2015); see citation(NPBayesMixedDataImpute)).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.