lme4 (1.112)
Linear MixedEffects Models using 'Eigen' and S4.
https://github.com/lme4/lme4/ http://lme4.rforge.rproject.org/
http://cran.rproject.org/web/packages/lme4
Fit linear and generalized linear mixedeffects 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".
Maintainer:
Ben Bolker
Author(s): 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], Peter Green [ctb]
License: GPL (>= 2)
Uses: lattice, MASS, Matrix, minqa, nlme, nloptr, MEMSS, boot, ggplot2, mlmRev, numDeriv, HSAUR2, gamm4, testthat, optimx, pbkrtest, PKPDmodels, knitr
Reverse depends: afex, agRee, amer, aods3, arm, ARTool, asuR, bapred, Bayesthresh, blme, boss, BradleyTerry2, carcass, CLME, clusterPower, cplm, difR, doBy, EquiNorm, ez, fishmethods, fullfact, gamm4, GHap, GLMMRR, GRRGI, gtheory, GWAF, HLMdiag, influence.ME, JAGUAR, JointModel, languageR, LMERConvenienceFunctions, lmerTest, longpower, macc, marked, mcprofile, MEMSS, merTools, mi, mixAK, MixMAP, MixRF, mlma, mlmRev, MultisiteMediation, NetworkAnalysis, neuropsychology, nonrandom, odprism, pamm, papeR, PBImisc, pbkrtest, pedigreemm, polytomous, prLogistic, qgen, RLRsim, robustlmm, RVAideMemoire, sdtalt, simr, sirt, sommer, spacom, Surrogate, ZeligMultilevel
Reverse suggests: agricolae, agridat, AICcmodavg, ANOM, aod, AzureML, BayesFactor, benchmark, BIFIEsurvey, broom, car, DAAG, dlnm, doBy, DySeq, effects, Epi, eyetrackingR, fbRanks, flexmix, gamair, glmulti, gmodels, hamlet, harvestr, HLMdiag, hnp, HSAUR, HSAUR2, HSAUR3, investr, irtrees, KFAS, kulife, kyotil, languageR, lava, likelihoodAsy, lmeresampler, lsmeans, lucid, mediation, MESS, meta, metafor, MethComp, mice, mitml, MPDiR, multcomp, MuMIn, NAM, NanoStringNorm, OpenMx, ordinal, pan, pez, phia, phmm, psych, purge, R2admb, r2glmm, R2MLwiN, rangeMapper, RcmdrPlugin.NMBU, RLRsim, samplingDataCRT, SASmixed, sirt, sjmisc, sjPlot, slim, spaMM, SPOT, texreg, TripleR, visreg, Zelig
Reverse enhances: lsmeans, memisc, papeR, prediction, stargazer
Released 11 months ago.
25 previous versions
 lme4_1.111. Released about 1 year ago.
 lme4_1.110. Released over 1 year ago.
 lme4_1.19. Released over 1 year ago.
 lme4_1.18. Released almost 2 years ago.
 lme4_1.17. Released over 2 years ago.
 lme4_1.16. Released almost 3 years ago.
 lme4_1.15. Released about 3 years ago.
 lme4_1.06. Released about 3 years ago.
 lme4_1.05. Released over 3 years ago.
 lme4_1.04. Released over 3 years ago.
 lme4_0.9999992. Released almost 4 years ago.
 lme4_0.9999990. Released almost 5 years ago.
 lme4_0.99937542. Released over 5 years ago.
 lme4_0.99937541. Released over 5 years ago.
 lme4_0.99937540. Released over 5 years ago.
 lme4_0.99937539. Released about 6 years ago.
 lme4_0.99937538. Released about 6 years ago.
 lme4_0.99937537. Released over 6 years ago.
 lme4_0.99937536. Released over 6 years ago.
 lme4_0.99937535. Released over 6 years ago.
 lme4_0.99937534. Released over 6 years ago.
 lme4_0.99937532. Released over 7 years ago.
 lme4_0.99937531. Released almost 8 years ago.
 lme4_0.99937526. Released over 8 years ago.
 lme4_0.998759. Released over 9 years ago.
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Reviews

powerful, still under active development
lme4 is rapidly becoming the standard package for mixedeffect (linear, generalizedlinear, nonlinear) modeling in R, superseding (?) the older,...
bbolker gave lme4 (0.99937532) a 4. Read the full review.
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