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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 |
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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.
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