SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project lme4 - Mixed-effects models.

Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).

Packages

Gqr

Determine knots and weights for Gaussian quadrature rules

  Determine the knots and the weights for Gaussian quadrature rules based on Legendre, Chebyshev, Gegenbauer, Jacobi, Laguerre, Hermite, Exponential or Rational kernels. Generalized forms of the kernels can be used.
  Version: 0.2-0 | Last change: 2012-10-20 22:43:40+02 | Rev.: 1791
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("Gqr", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


MEMSS

Data sets from Mixed-effects Models in S

  Data sets and sample analyses from Pinheiro and Bates, "Mixed-effects Models in S and S-PLUS" (Springer, 2000).
  Version: 0.9-2 | Last change: 2014-03-11 16:28:59+01 | Rev.: 1887
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get MEMSS 0.9-3 from CRAN
  R install command: install.packages("MEMSS", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


SASmixed

Data sets from "SAS System for Mixed Models"

  Data sets and sample lmer analyses corresponding to the examples in Littell, Milliken, Stroup and Wolfinger (1996), "SAS System for Mixed Models", SAS Institute.
  Version: 1.0-4 | Last change: 2014-03-11 15:07:15+01 | Rev.: 1886
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get SASmixed 1.0-4 from CRAN
  R install command: install.packages("SASmixed", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


lme4

Linear mixed-effects models using Eigen and S4

  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: 0.99999911-1 | Last change: 2013-01-15 16:46:16+01 | Rev.: 1794
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get lme4 1.1-35.3 from CRAN
  R install command: install.packages("lme4", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


lme4.0

Linear mixed-effects models using S4 classes

  Fit linear and generalized linear mixed-effects models. This is the implementation of lme4 available on CRAN and developed up to 2011. It has been renamed to lme4.0, and is now deprecated in favor of the new lme4 package, for everything new. For reproducibility of past research and data analysis, lme4.0 is kept available. For the time being, code and other packages who have made extensive use of the inner structure, e.g., of lmer() results, will have to depend on lme4.0 until their code can be adapted.
  Version: 0.999999-4 | Last change: 2014-07-05 18:27:42+02 | Rev.: 1890
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("lme4.0", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


lme4a

Linear mixed-effects models using S4 classes

  Fit linear and generalized linear mixed-effects models.
  Version: 0.9996875-1 | Last change: 2012-01-12 16:08:53+01 | Rev.: 1505
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("lme4a", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


lme4b

Linear mixed-effects models using S4 classes

  Fit linear and generalized linear mixed-effects models.
  Version: 0.999375-60 | Last change: 2010-08-04 16:29:59+02 | Rev.: 1040
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("lme4b", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


mlmRev

Examples from Multilevel Modelling Software Review

  Data and examples from a multilevel modelling software review as well as other well-known data sets from the multilevel modelling literature.
  Version: 1.0-6 | Last change: 2014-03-11 15:06:21+01 | Rev.: 1885
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get mlmRev 1.0-8 from CRAN
  R install command: install.packages("mlmRev", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)

 

Build status codes

0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
1 - Scheduled for build: the package has been recognized by the build system and provided in the staging area.
2 - Building: the package has been sent to the build machines. It will be built and checked using the latest patched version of R. Note that it is included in a batch of several packages. Thus, this process will take some time to finish.
3 - Failed to build: the package failed to build or did not pass the checks on the Linux and/or Windows platform. It is not made available since it does not meet the policies.
4 - Conflicts: two or more packages of the same name exist. None of them will be built. Maintainers are asked to negotiate further actions.
5 - Offline: the package is not available. The build system may be offline or the package maintainer did not trigger a rebuild (done e.g., via committing to the package repository).

If your package is not shown on this page or not building, then check the build system status report.

Thanks to:
Vienna University of Economics and Business Powered By FusionForge