lme4: Linear mixed-effects models using S4 classes

Fit linear and generalized linear mixed-effects models. This is the implementation of lme4 available on CRAN and developed up to 2011.

Version: 0.999999-2
Depends: methods, R (≥ 2.11.1), Matrix (≥ 1.0-1), lattice
Imports: graphics, nlme, stats4, stats
LinkingTo: Matrix, stats
Suggests: mlmRev, MEMSS, coda, MASS, sfsmisc, MatrixModels
Published: 2013-04-15
Author: Douglas Bates, Martin Maechler and Ben Bolker
Maintainer: Ben Bolker <bbolker+lme4-authors at gmail.com>
License: GPL (≥ 2)
URL: http://lme4.r-forge.r-project.org/
NeedsCompilation: yes
In views: Bayesian, Econometrics, Environmetrics, OfficialStatistics, Psychometrics, SocialSciences, SpatioTemporal
CRAN checks: lme4 results

Downloads:

Package source: lme4_0.999999-2.tar.gz
MacOS X binary: lme4_0.999999-2.tgz
Windows binary: lme4_0.999999-2.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: afex, aods3, arm, Bayesthresh, blme, boss, clusterPower, cplm, difR, ez, gamm4, GRRGI, HLMdiag, influence.ME, LMERConvenienceFunctions, lmerTest, MEMSS, mi, mixAK, MixMAP, mlmRev, NetworkAnalysis, nonrandom, odprism, pamm, PBImisc, pbkrtest, pedigreemm, polytomous, prLogistic, robustlmm, spacom, ZeligMultilevel
Reverse imports: arm, blme, BradleyTerry2, EquiNorm, languageR, longpower, phia, R2STATS, RVAideMemoire
Reverse suggests: agricolae, agridat, AICcmodavg, aod, benchmark, car, catdata, DAAG, doBy, effects, fbRanks, flexmix, glmulti, gmodels, harvestr, HSAUR, HSAUR2, irtrees, kulife, languageR, lava, lsmeans, mediation, metafor, mice, MPDiR, multcomp, MuMIn, NanoStringNorm, ordinal, pan, phia, phmm, R2admb, R2MLwiN, RLRsim, SASmixed, SPOT, texreg, TripleR