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