lme4: Linear Mixed-Effects Models using 'Eigen' and S4

Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".

Version: 1.1-9
Depends: R (≥ 3.0.2), Matrix (≥ 1.1.1), methods, stats
Imports: graphics, grid, splines, utils, parallel, MASS, nlme, lattice, minqa (≥ 1.1.15), nloptr (≥ 1.0.4)
LinkingTo: Rcpp (≥ 0.10.5), RcppEigen
Suggests: knitr, boot, PKPDmodels, MEMSS, testthat (≥ 0.8.1), ggplot2, mlmRev, optimx (≥ 2013.8.6), gamm4, pbkrtest, HSAUR2, numDeriv
Published: 2015-08-20
Author: Douglas Bates [aut], Martin Maechler [aut], Ben Bolker [aut, cre], Steven Walker [aut], Rune Haubo Bojesen Christensen [ctb], Henrik Singmann [ctb], Bin Dai [ctb], Gabor Grothendieck [ctb]
Maintainer: Ben Bolker <bbolker+lme4 at gmail.com>
Contact: LME4 Authors <lme4-authors@lists.r-forge.r-project.org>
BugReports: https://github.com/lme4/lme4/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/lme4/lme4/ http://lme4.r-forge.r-project.org/
NeedsCompilation: yes
Citation: lme4 citation info
Materials: README NEWS ChangeLog
In views: Bayesian, Econometrics, Environmetrics, OfficialStatistics, Psychometrics, SocialSciences, SpatioTemporal
CRAN checks: lme4 results

Downloads:

Reference manual: lme4.pdf
Vignettes: lmer Performance Tips
Fitting Linear Mixed-Effects Models using lme4
PLS vs GLS for LMMs
Computational Methods
Package source: lme4_1.1-9.tar.gz
Windows binaries: r-devel: lme4_1.1-9.zip, r-release: lme4_1.1-9.zip, r-oldrel: lme4_1.1-9.zip
OS X Snow Leopard binaries: r-release: lme4_1.1-9.tgz, r-oldrel: lme4_1.1-7.tgz
OS X Mavericks binaries: r-release: lme4_1.1-9.tgz
Old sources: lme4 archive

Reverse dependencies:

Reverse depends: afex, agRee, aods3, ArfimaMLM, arm, ARTool, Bayesthresh, BBRecapture, blme, boss, BradleyTerry2, cAIC4, carcass, CLME, difR, gamm4, GWAF, iccbeta, influence.ME, JAGUAR, lmerTest, longpower, marked, MEMSS, merTools, Metatron, mixAK, mlmRev, nonrandom, pamm, PBImisc, pbkrtest, pedigreemm, polytomous, predictmeans, prLogistic, robustlmm, TcGSA, ZeligMultilevel
Reverse imports: blmeco, climwin, clusterPower, effects, ez, inferference, LMERConvenienceFunctions, lmSupport, mbest, mediation, metaplus, miceadds, mixlm, MixMAP, mlVAR, multiDimBio, MultiRR, R2STATS, refund, rockchalk, RVAideMemoire, RVFam, SensMixed, SoyNAM, spacom, Surrogate, xergm
Reverse suggests: agridat, AICcmodavg, ANOM, aod, BayesFactor, benchmark, BIFIEsurvey, broom, car, catdata, DAAG, dlnm, doBy, expp, flexmix, glmulti, gmodels, hamlet, HLMdiag, hnp, HSAUR, HSAUR2, HSAUR3, irtrees, KFAS, kulife, kyotil, languageR, lava, likelihoodAsy, lsmeans, lucid, MESS, metafor, MethComp, mice, mitml, multcomp, MuMIn, mztwinreg, NanoStringNorm, ordinal, pan, pez, phia, phmm, R2admb, RcmdrPlugin.NMBU, RLRsim, SASmixed, sjmisc, sjPlot, spaMM, SPOT, texreg, TripleR, visreg
Reverse enhances: memisc, papeR, stargazer