lme4 (0.999375-35)
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.
Maintainer:
Douglas Bates
Author(s): Douglas Bates <bates@stat.wisc.edu> and Martin Maechler <maechler@R-project.org>
License: GPL (>= 2)
Uses: lattice, nlme, MEMSS, coda, mlmRev, MASS
Reverse depends: amer, arm, asuR, difR, EquiNorm, gamm4, GRRGI, influence.ME, languageR, mi, mixAK, nonrandom, pamm, pedigreemm, qgen, RLRsim, sdtalt
Reverse suggests: AICcmodavg, benchmark, flexmix, gmodels, HSAUR, HSAUR2, mice, multcomp, MuMIn, ordinal, phmm, rangeMapper, RLRsim, SASmixed, TripleR, Zelig
Released 15 days ago.
5 previous versions
- lme4_0.999375-34. Released 2 months ago.
- lme4_0.999375-32. Released 11 months ago.
- lme4_0.999375-31. Released over 1 year ago.
- lme4_0.999375-26. Released about 2 years ago.
- lme4_0.99875-9. Released almost 3 years ago.
Ratings
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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: MASS, MCMCglmm, pscl, nlme, mgcv, Hmisc, MCMCpack, VGAM, MNP, coda, aod, systemfit, evdbayes, dyn, bayesm, Matrix, micEcon, segmented, labdsv, gam … (20 best matches, based on common tags.)
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