pan: Multiple Imputation for Multivariate Panel or Clustered Data

It provides functions and examples for maximum likelihood estimation for generalized linear mixed models and Gibbs sampler for multivariate linear mixed models with incomplete data, as described in Schafer JL (1997) "Imputation of missing covariates under a multivariate linear mixed model". Technical report 97-04, Dept. of Statistics, The Pennsylvania State University.

Version: 1.6
Suggests: mitools, lme4
Published: 2018-06-29
Author: Original by Joseph L. Schafer
Maintainer: Jing hua Zhao <jinghuazhao at hotmail.com>
License: GPL-3
NeedsCompilation: yes
Citation: pan citation info
Materials: ChangeLog
In views: Multivariate, OfficialStatistics, SocialSciences
CRAN checks: pan results

Downloads:

Reference manual: pan.pdf
Vignettes: Imputation of missing covariates under a multivariate linear mixed model
Package source: pan_1.6.tar.gz
Windows binaries: r-devel: pan_1.6.zip, r-release: pan_1.6.zip, r-oldrel: pan_1.6.zip
OS X binaries: r-release: pan_1.6.tgz, r-oldrel: pan_1.6.tgz
Old sources: pan archive

Reverse dependencies:

Reverse imports: mitml
Reverse suggests: mice, miceadds

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