lme4 (0.999999-2)
Linear mixed-effects models using S4 classes.
http://lme4.r-forge.r-project.org/
http://cran.r-project.org/web/packages/lme4
Fit linear and generalized linear mixed-effects models. This is the implementation of lme4 available on CRAN and developed up to 2011.
Maintainer:
Ben Bolker
Author(s): Douglas Bates <bates@stat.wisc.edu>, Martin Maechler <maechler@R-project.org> and Ben Bolker <bolker@mcmaster.ca>
License: GPL (>= 2)
Uses: lattice, nlme, MEMSS, coda, mlmRev, sfsmisc, MASS, MatrixModels
Reverse depends: afex, amer, aods3, arm, asuR, Bayesthresh, boss, clusterPower, cplm, difR, doBy, EquiNorm, ez, gamm4, GRRGI, HLMdiag, influence.ME, languageR, LMERConvenienceFunctions, lmerTest, longpower, mcprofile, MEMSS, mi, mixAK, MixMAP, mlmRev, NetworkAnalysis, nonrandom, odprism, pamm, PBImisc, pbkrtest, pedigreemm, polytomous, prLogistic, qgen, RLRsim, robustlmm, RVAideMemoire, sdtalt, spacom, ZeligMultilevel
Reverse suggests: agricolae, agridat, AICcmodavg, aod, benchmark, car, DAAG, doBy, effects, fbRanks, flexmix, glmulti, gmodels, harvestr, HSAUR, HSAUR2, irtrees, kulife, languageR, lava, lsmeans, mediation, metafor, MethComp, mice, MPDiR, multcomp, MuMIn, NanoStringNorm, ordinal, pan, phia, phmm, R2admb, R2MLwiN, rangeMapper, RLRsim, SASmixed, SPOT, texreg, TripleR, Zelig
Released about 1 month ago.
14 previous versions
- lme4_0.999999-0. Released 11 months ago.
- lme4_0.999375-42. Released over 1 year ago.
- lme4_0.999375-41. Released almost 2 years ago.
- lme4_0.999375-40. Released almost 2 years ago.
- lme4_0.999375-39. Released about 2 years ago.
- lme4_0.999375-38. Released over 2 years ago.
- lme4_0.999375-37. Released over 2 years ago.
- lme4_0.999375-36. Released over 2 years ago.
- lme4_0.999375-35. Released almost 3 years ago.
- lme4_0.999375-34. Released almost 3 years ago.
- lme4_0.999375-32. Released over 3 years ago.
- lme4_0.999375-31. Released about 4 years ago.
- lme4_0.999375-26. Released almost 5 years ago.
- lme4_0.99875-9. Released over 5 years ago.
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Reviews
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powerful, still under active development
lme4 is rapidly becoming the standard package for mixed-effect (linear-, generalized-linear-, nonlinear-) modeling in R, superseding (?) the older,…
bbolker gave lme4 (0.999375-32) a 4. Read the full review.
Related packages: pscl, MCMCglmm, MASS, Hmisc, MCMCpack, VGAM, mgcv, nlme, MNP, MSBVAR, MasterBayes, Matrix, R2WinBUGS, ade4, aod, bayesm, cocorresp, coda, dlm, dse … (20 best matches, based on common tags.)
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