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 |