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Multiple Imputation for Multivariate Panel or Clustered Data

Installation

About

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.

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Version 1.9
R ≥ 2.10
Published 2023-12-07 301 days ago
Needs compilation? yes
License GPL-3
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Maintainer

Maintainer

Jing hua Zhao

Authors

Original by Joseph L. Schafer

Material

ChangeLog
Reference manual
Package source

In Views

MissingData
MixedModels

Vignettes

Imputation of missing covariates under a multivariate linear mixed model

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

pan archive

Depends

R ≥ 2.10

Suggests

mitools
lme4

Reverse Imports

mitml

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