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:	1.9
Depends:	R (≥ 2.10)
Suggests:	mitools, lme4
Published:	2023-12-07
DOI:	10.32614/CRAN.package.pan
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:	MissingData, MixedModels
CRAN checks:	pan results

Documentation:

Reference manual:	pan.html , pan.pdf
Vignettes:	Imputation of missing covariates under a multivariate linear mixed model (source)

Downloads:

Package source:	pan_1.9.tar.gz
Windows binaries:	r-devel: pan_1.9.zip, r-release: pan_1.9.zip, r-oldrel: pan_1.9.zip
macOS binaries:	r-release (arm64): pan_1.9.tgz, r-oldrel (arm64): pan_1.9.tgz, r-release (x86_64): pan_1.9.tgz, r-oldrel (x86_64): pan_1.9.tgz
Old sources:	pan archive

Reverse dependencies:

Reverse imports:	mitml
Reverse suggests:	mice
Reverse enhances:	miceadds

Linking:

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