NPBayesImpute (0.6)

0 users

Non-Parametric Bayesian Multiple Imputation for Categorical Data.

http://cran.r-project.org/web/packages/NPBayesImpute

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.

Maintainer: Quanli Wang
Author(s): Quanli Wang, Daniel Manrique-Vallier, Jerome P. Reiter and Jingchen Hu

License: GPL (>= 3)

Uses: Rcpp

Released almost 4 years ago.


2 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of NPBayesImpute yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for NPBayesImpute on google, google scholar, r-help, r-devel.

Visit NPBayesImpute on R Graphical Manual.