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.
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 |
| 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 |
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.