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 |
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 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: | stargazer |