Package: lmm 1.6
lmm: Linear Mixed Models
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.
Authors:
lmm_1.6.tar.gz
lmm_1.6.zip(r-4.7)lmm_1.6.zip(r-4.6)lmm_1.6.zip(r-4.5)
lmm_1.6.tgz(r-4.6-x86_64)lmm_1.6.tgz(r-4.6-arm64)lmm_1.6.tgz(r-4.5-x86_64)lmm_1.6.tgz(r-4.5-arm64)
lmm_1.6.tar.gz(r-4.7-arm64)lmm_1.6.tar.gz(r-4.7-x86_64)lmm_1.6.tar.gz(r-4.6-arm64)lmm_1.6.tar.gz(r-4.6-x86_64)
lmm_1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
lmm/json (API)
| # Install 'lmm' in R: |
| install.packages('lmm', repos = c('https://jinghuazhao.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jinghuazhao/r/issues
Datasets:
- marijuana - A pilot study of the clinical and psychological effects of maarijuana
Last updated from:dea886557f. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 127 | ||
| linux-devel-x86_64 | OK | 114 | ||
| source / vignettes | OK | 160 | ||
| linux-release-arm64 | OK | 128 | ||
| linux-release-x86_64 | OK | 114 | ||
| macos-release-arm64 | OK | 110 | ||
| macos-release-x86_64 | OK | 287 | ||
| macos-oldrel-arm64 | OK | 93 | ||
| macos-oldrel-x86_64 | OK | 186 | ||
| windows-devel | OK | 81 | ||
| windows-release | OK | 67 | ||
| windows-oldrel | OK | 59 | ||
| wasm-release | OK | 86 |
Exports:ecmemlecmermlfastmcmcfastmlfastmodefastrmlmgibbs
Dependencies:
