The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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:

Please use the canonical form https://CRAN.R-project.org/package=lmm to link to this page.

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.
Health stats visible at Monitor.