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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: 1.4
Depends: R (≥ 2.0.0)
Published: 2023-08-19
DOI: 10.32614/CRAN.package.lmm
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
CRAN checks: lmm results

Documentation:

Reference manual: lmm.pdf
Vignettes: Some improved procedures for linear mixed models

Downloads:

Package source: lmm_1.4.tar.gz
Windows binaries: r-devel: lmm_1.4.zip, r-release: lmm_1.4.zip, r-oldrel: lmm_1.4.zip
macOS binaries: r-release (arm64): lmm_1.4.tgz, r-oldrel (arm64): lmm_1.4.tgz, r-release (x86_64): lmm_1.4.tgz, r-oldrel (x86_64): lmm_1.4.tgz
Old sources: lmm archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.