lmm: Linear Mixed Models

It implements Expectation/Conditional Maximization Either (ECME) and rapidly converging algorithms as well as Bayesian inference for linear mixed models, which is described in Schafer, J.L. (1998) "Some improved procedures for linear mixed models". Dept. of Statistics, The Pennsylvania State University.

Version: 1.2
Depends: R (≥ 2.0.0)
Published: 2018-06-30
Author: Original by Joseph L. Schafer
Maintainer: Jing hua Zhao <jinghuazhao at hotmail.com>
License: Unlimited
URL: https://github.com/jinghuazhao/R
NeedsCompilation: yes
Materials: ChangeLog
In views: Bayesian, SocialSciences
CRAN checks: lmm results


Reference manual: lmm.pdf
Vignettes: Some improved procedures for linear mixed models
Package source: lmm_1.2.tar.gz
Windows binaries: r-devel: lmm_1.2.zip, r-release: lmm_1.2.zip, r-oldrel: lmm_1.2.zip
OS X binaries: r-release: lmm_1.2.tgz, r-oldrel: lmm_1.2.tgz
Old sources: lmm archive


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