lme4: Linear mixed-effects models using S4 classes

Fit linear and generalized linear mixed-effects models.

Version: 0.999375-42
Depends: methods, R (≥ 2.11.1), Matrix (≥ 0.9996875-1), lattice
Imports: graphics, nlme, stats4, stats
LinkingTo: Matrix, stats
Suggests: mlmRev, MEMSS, coda, MASS, sfsmisc, MatrixModels
Published: 2011-10-04
Author: Douglas Bates, Martin Maechler and Ben Bolker
Maintainer: <lme4-authors at R-forge.wu-wien.ac.at>
License: GPL (≥ 2)
URL: http://lme4.r-forge.r-project.org/
In views: Bayesian, Econometrics, Environmetrics, OfficialStatistics, Psychometrics
CRAN checks: lme4 results

Downloads:

Package source: lme4_0.999375-42.tar.gz
MacOS X binary: lme4_0.999375-42.tgz
Windows binary: lme4_0.999375-42.zip
Reference manual: lme4.pdf
Vignettes: Implementation Details
PLS vs GLS for LMMs
Computational Methods
News/ChangeLog:NEWS ChangeLog
Old sources: lme4 archive

Reverse dependencies:

Reverse depends: amer, arm, blme, clusterPower, cplm, difR, doBy, ez, gamm4, GRRGI, HLMdiag, influence.ME, LMERConvenienceFunctions, longpower, MEMSS, mi, mixAK, mlmRev, NetworkAnalysis, odprism, pamm, pbkrtest, pedigreemm, polytomous, prLogistic, sdtalt, spacom
Reverse imports: arm, blme, BradleyTerry2, EquiNorm, languageR, R2STATS
Reverse suggests: agridat, AICcmodavg, aod, benchmark, car, catdata, DAAG, flexmix, glmulti, gmodels, HSAUR, HSAUR2, kulife, languageR, mice, multcomp, MuMIn, ordinal, phmm, R2admb, RLRsim, SASmixed, TripleR, Zelig