Package: lmm 1.4

lmm: Linear Mixed Models

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.

Authors:Original by Joseph L. Schafer

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lmm.pdf |lmm.html✨
lmm/json (API)

# Install 'lmm' in R:
install.packages('lmm', repos = c('https://jinghuazhao.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jinghuazhao/r/issues

Datasets:
  • marijuana - A pilot study of the clinical and psychological effects of maarijuana

On CRAN:

geneticsimputationlmm

7 exports 12 stars 2.58 score 0 dependencies 7 mentions 9 scripts 408 downloads

Last updated 3 months agofrom:e876b5c889. Checks:OK: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKJun 13 2024

Exports:ecmemlecmermlfastmcmcfastmlfastmodefastrmlmgibbs

Dependencies:

Some improved procedures for linear mixed models

Rendered fromlmm-tr.Rnwusingutils::Sweaveon Jun 13 2024.

Last update: 2018-06-29
Started: 2018-01-26