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: 1.1-26
Depends: R (≥ 3.2.0), Matrix (≥ 1.2-1), methods, stats
Imports: graphics, grid, splines, utils, parallel, MASS, lattice, boot, nlme (≥ 3.1-123), minqa (≥ 1.1.15), nloptr (≥ 1.0.4), statmod
LinkingTo: Rcpp (≥ 0.10.5), RcppEigen
Suggests: knitr, rmarkdown, PKPDmodels, MEMSS, testthat (≥ 0.8.1), ggplot2, mlmRev, optimx (≥ 2013.8.6), gamm4, pbkrtest, HSAUR3, numDeriv, car, dfoptim, mgcv
Published: 2020-12-01
Author: Douglas Bates ORCID iD [aut], Martin Maechler ORCID iD [aut], Ben Bolker ORCID iD [aut, cre], Steven Walker ORCID iD [aut], Rune Haubo Bojesen Christensen ORCID iD [ctb], Henrik Singmann ORCID iD [ctb], Bin Dai [ctb], Fabian Scheipl ORCID iD [ctb], Gabor Grothendieck [ctb], Peter Green ORCID iD [ctb], John Fox [ctb], Alexander Bauer [ctb], Pavel N. Krivitsky ORCID iD [ctb, cph] (shared copyright on simulate.formula)
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/
NeedsCompilation: yes
Citation: lme4 citation info
Materials: NEWS ChangeLog
In views: Bayesian, Econometrics, Environmetrics, OfficialStatistics, Psychometrics, SocialSciences, SpatioTemporal
CRAN checks: lme4 results

Downloads:

Reference manual: lme4.pdf
Vignettes: lmer Performance Tips
Computational Methods
Fitting Linear Mixed-Effects Models using lme4
PLS vs GLS for LMMs
Package source: lme4_1.1-26.tar.gz
Windows binaries: r-devel: lme4_1.1-26.zip, r-release: lme4_1.1-25.zip, r-oldrel: lme4_1.1-26.zip
macOS binaries: r-release: lme4_1.1-26.tgz, r-oldrel: lme4_1.1-26.tgz
Old sources: lme4 archive

Reverse dependencies:

Reverse depends: afex, agRee, aods3, arm, bapred, BClustLonG, blme, cAIC4, carcass, cgam, CLME, dfmeta, eirm, gamm4, glmertree, GLMMRR, gtheory, HelpersMG, influence.ME, jlctree, joineRmeta, JointModel, LMERConvenienceFunctions, lmerTest, longpower, macc, MargCond, marked, MEMSS, merDeriv, merTools, Metatron, mixAK, MixRF, mlma, mlmRev, MultisiteMediation, mumm, mvMISE, pbkrtest, pedigreemm, predictmeans, prLogistic, r2mlm, robustBLME, robustlmm, sae, simr, SPCDAnalyze, structree, swissMrP, WebPower, WeMix
Reverse imports: altmeta, ARTool, bayesammi, BayesLN, BayesSenMC, baystability, BBRecapture, BFpack, blmeco, BradleyTerry2, brokenstick, buildmer, car, chngpt, ciTools, clickR, climwin, clusteredinterference, clusterPower, CMatching, cpr, cvms, DAPAR, DClusterm, DHARMa, diagmeta, diffcyt, difR, doremi, doseR, eda4treeR, EdSurvey, eefAnalytics, effects, embed, epr, ESTER, ez, faraway, faux, fence, finalfit, fishmethods, fullfact, geex, GHap, glmmEP, glmmsr, glmmTMB, GLMpack, gorica, groupedstats, gvcR, HeritSeq, hmi, iccbeta, IDmeasurer, IMAS, IMTest, inferference, inti, intRvals, isni, IVAS, joineRML, jomo, jstable, JWileymisc, KenSyn, latrend, lefko3, lmem.qtler, lmSupport, LSAmitR, MAGNAMWAR, manymodelr, mbest, MDMR, mediation, meta, metamicrobiomeR, metamisc, metan, metaplus, micemd, MiRKAT, misty, MixedPsy, MixMAP, MLID, mlVAR, MMeM, MSstats, MSstatsTMT, multiDimBio, multilevelTools, MultiRR, muscat, MXM, nanny, omics, OptimClassifier, packDAMipd, pamm, paramhetero, PBImisc, pcgen, perturbatr, Phenotype, PhenStat, phyr, piecewiseSEM, Plasmode, PLmixed, pmm, powerbydesign, powerlmm, PrevMap, projpred, psfmi, ptmixed, pvca, qape, raincin, rbenvo, Rcmdr, refund, reghelper, regplot, REndo, reproducer, rewie, rexposome, RLRsim, rockchalk, rosetta, rpql, rptR, rr2, RRreg, rsq, rstanarm, rstap, rties, RVAideMemoire, RVFam, semEff, siland, sjstats, skpr, SlaPMEG, smicd, snm, SoyNAM, specr, spicyR, SPreFuGED, squid, stability, standardize, statgenGxE, statgenSTA, StroupGLMM, supernova, Surrogate, surrosurv, TcGSA, themetagenomics, tidyBF, tidygate, tidyMicro, tramME, tukeytrend, userfriendlyscience, variancePartition, varTestnlme, VCA, VetResearchLMM, warpMix, welchADF
Reverse suggests: AgreementInterval, agridat, AICcmodavg, ANOM, aod, bartCause, BayesFactor, bayestestR, BGData, brms, broom, broom.helpers, broom.mixed, broomExtra, catdata, CellaRepertorium, clubSandwich, codebook, concurve, correlation, ctsem, DAAG, dlnm, doBy, dominanceanalysis, dscore, DySeq, effectsize, emmeans, Epi, epimdr, expp, finetune, flexmix, gamair, ggeffects, ggResidpanel, glmglrt, glmulti, gmodels, gtsummary, hamlet, HLMdiag, hmclearn, hnp, HSAUR, HSAUR2, HSAUR3, huxtable, ICCbin, immer, insight, interactions, irtrees, jtools, KFAS, konfound, kulife, kyotil, languageR, lava, lavaSearch2, likelihoodAsy, lmeInfo, lmeresampler, lmfor, lucid, margins, MARSS, MAST, MESS, metafor, metarep, MethComp, mice, miceadds, mitml, mixlm, mlr3pipelines, modelbased, multcomp, MuMIn, mztwinreg, NanoStringNorm, NHSRdatasets, OnAge, OpenMx, ordinal, pan, parameters, performance, pez, phia, polypoly, postHoc, psych, pubh, purge, R2admb, r2glmm, randRotation, RcmdrPlugin.NMBU, rmcorr, samplingDataCRT, SARP.compo, SASmixed, see, shinybrms, simglm, SimSurvey, sjPlot, slim, spaMM, sparsenetgls, splatter, tableone, tidyLPA, tidystats, tram, TripleR, TukeyC, vtreat
Reverse enhances: LAM, memisc, papeR, prediction, stargazer, texreg

Linking:

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