Implements Expectation/Conditional Maximization Either (ECME), rapidly converging algorithms, and Bayesian inference for linear mixed models following Schafer (1998), "Some Improved Procedures for Linear Mixed Models", Department of Statistics, The Pennsylvania State University.
| Version: | 1.5 |
| Depends: | R (≥ 2.0.0) |
| Published: | 2026-06-30 |
| DOI: | 10.32614/CRAN.package.lmm |
| Author: | Joseph L. Schafer [aut] (Original author), Jing hua Zhao [cre] |
| Maintainer: | Jing hua Zhao <jinghuazhao at hotmail.com> |
| BugReports: | https://github.com/jinghuazhao/R/issues |
| License: | Unlimited |
| URL: | https://github.com/jinghuazhao/R |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| In views: | Bayesian |
| CRAN checks: | lmm results |
| Reference manual: | lmm.html , lmm.pdf |
| Vignettes: |
Some Improved Procedures for Linear Mixed Models (source) |
| Package source: | lmm_1.5.tar.gz |
| Windows binaries: | r-devel: lmm_1.5.zip, r-release: lmm_1.4.zip, r-oldrel: lmm_1.5.zip |
| macOS binaries: | r-release (arm64): lmm_1.5.tgz, r-oldrel (arm64): lmm_1.5.tgz, r-release (x86_64): lmm_1.5.tgz, r-oldrel (x86_64): lmm_1.5.tgz |
| Old sources: | lmm archive |
Please use the canonical form https://CRAN.R-project.org/package=lmm to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.