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: 1.1-7
Depends: R (≥ 2.15.1), Matrix (≥ 1.1.1), methods, stats, Rcpp (≥ 0.10.5)
Imports: graphics, grid, splines, parallel, MASS, nlme, lattice, minqa (≥ 1.1.15), nloptr
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, boot, PKPDmodels, MEMSS, testthat (≥ 0.8.1), ggplot2, mlmRev, optimx (≥ 2013.8.6), gamm4, pbkrtest
Published: 2014-07-19
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]
Maintainer: Ben Bolker <bbolker+lme4 at gmail.com>
Contact: LME4 Authors <lme4-authors@lists.r-forge.r-project.org>
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: Fitting linear mixed-effects models using lme4
PLS vs GLS for LMMs
Computational Methods
Package source: lme4_1.1-7.tar.gz
Windows binaries: r-devel: lme4_1.1-7.zip, r-release: lme4_1.1-7.zip, r-oldrel: lme4_1.1-7.zip
OS X Snow Leopard binaries: r-release: lme4_1.1-7.tgz, r-oldrel: lme4_1.1-7.tgz
OS X Mavericks binaries: r-release: lme4_1.1-7.tgz
Old sources: lme4 archive

Reverse dependencies:

Reverse depends: afex, agRee, aods3, arm, Bayesthresh, BBRecapture, blme, boss, BradleyTerry2, cAIC4, carcass, difR, gamm4, GWAF, HLMdiag, influence.ME, JAGUAR, LMERConvenienceFunctions, lmerTest, longpower, marked, MEMSS, Metatron, mixAK, MixMAP, mlmRev, nonrandom, pamm, papeR, PBImisc, pbkrtest, pedigreemm, polytomous, predictmeans, prLogistic, robustlmm, Surrogate, TcGSA, ZeligMultilevel
Reverse imports: clusterPower, ez, lmSupport, mbest, mi, miceadds, mixlm, multiDimBio, R2STATS, refund, rockchalk, RVAideMemoire, spacom, xergm
Reverse suggests: agridat, AICcmodavg, aod, BayesFactor, benchmark, car, catdata, DAAG, dlnm, doBy, effects, expp, flexmix, glmulti, gmodels, hamlet, HSAUR, HSAUR2, HSAUR3, irtrees, kulife, kyotil, languageR, lava, lsmeans, mediation, metafor, MethComp, mice, MPDiR, multcomp, MuMIn, NanoStringNorm, ordinal, pan, phia, phmm, R2admb, R2MLwiN, RcmdrPlugin.NMBU, RLRsim, SASmixed, sirt, SPOT, texreg, TripleR
Reverse enhances: memisc, stargazer