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.
|Author||Quanli Wang, Daniel Manrique-Vallier, Jerome P. Reiter and Jingchen Hu|
|Date of publication||2016-02-09 20:53:48|
|Maintainer||Quanli Wang <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.