- Version 1.1-12 is on CRAN (as of April 2016). Changes in this release are very minor, for compatibility with a new Windows toolchain. See the NEWS file (or
news(Version=="1.1.12",package="lme4")
).
- Efficient for large data sets, using algorithms from the Eigen linear algebra package via the RcppEigen interface layer.
- Allows arbitrarily many nested and crossed random effects.
- Fits generalized linear mixed models (GLMMs) and nonlinear mixed models (NLMMs) via Laplace approximation or adaptive Gauss-Hermite quadrature; GLMMs allow user-defined families and link functions.
- Incorporates likelihood profiling and parametric bootstrapping.
- From CRAN (stable release 1.0.+)
- Development version from Github:
library("devtools"); install_github("lme4/lme4",dependencies=TRUE)
(This requires devtools
>= 1.6.1, and installs the "master" (development) branch.)
This approach builds the package from source, i.e. make
and compilers must be installed on your system -- see the R FAQ for your operating system; you may also need to install dependencies manually. Specify build_vignettes=FALSE
if you have trouble because your system is missing some of the LaTeX/texi2dvi
tools.
- Usually up-to-date development binaries from
lme4
r-forge repository:
install.packages("lme4",
repos=c("http://lme4.r-forge.r-project.org/repos",
getOption("repos")[["CRAN"]]))
(these source and binary versions are updated manually, so may be out of date; if you believe they are, please contact the maintainers).
It is possible to install (but not easily to check) lme4
at least as recently as 1.1-7.
- make sure you have exactly these package versions:
Rcpp
0.10.5,RcppEigen
3.2.0.2 - for installation, use
--no-inst
; this is necessary in order to prevent R from getting hung up by theknitr
-based vignettes - running
R CMD check
is difficult, but possible if you hand-copy the contents of theinst
directory into the installed package directory ...
lme4.0
is a maintained version of lme4 back compatible to CRAN versions of lme4 0.99xy, mainly for the purpose of reproducible research and data analysis which was done with 0.99xy versions of lme4.- there have been some reports of problems with
lme4.0
on R version 3.1; if someone has a specific reproducible example they'd like to donate, please contact the maintainers. - Notably,
lme4.0
featuresgetME(<mod>, "..")
which is compatible (as much as sensibly possible) with the currentlme4
's version ofgetME()
. - You can use the
convert_old_lme4()
function to take a fitted object created withlme4
<1.0 and convert it for use withlme4.0
. - It currently resides on R-forge, and you should be able to install it with
install.packages("lme4.0",
repos=c("http://lme4.r-forge.r-project.org/repos",
getOption("repos")[["CRAN"]]))
(if the binary versions are out of date or unavailable for your system, please contact the maintainers).