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gamm4: Generalized Additive Mixed Models using 'mgcv' and 'lme4'

Estimate generalized additive mixed models via a version of function gamm() from 'mgcv', using 'lme4' for estimation.

Version: 0.2-6
Depends: R (≥ 2.9.0), methods, Matrix, lme4 (≥ 1.0), mgcv (≥ 1.7-23)
Published: 2020-04-03
DOI: 10.32614/CRAN.package.gamm4
Author: Simon Wood, Fabian Scheipl
Maintainer: Simon Wood <simon.wood at r-project.org>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
In views: MixedModels
CRAN checks: gamm4 results

Documentation:

Reference manual: gamm4.pdf

Downloads:

Package source: gamm4_0.2-6.tar.gz
Windows binaries: r-devel: gamm4_0.2-6.zip, r-release: gamm4_0.2-6.zip, r-oldrel: gamm4_0.2-6.zip
macOS binaries: r-release (arm64): gamm4_0.2-6.tgz, r-oldrel (arm64): gamm4_0.2-6.tgz, r-release (x86_64): gamm4_0.2-6.tgz, r-oldrel (x86_64): gamm4_0.2-6.tgz
Old sources: gamm4 archive

Reverse dependencies:

Reverse depends: vagam
Reverse imports: crosslag, fPASS, lwqs, mgcViz, MJMbamlss, projpred, refund, registr, voxel
Reverse suggests: bayestestR, buildmer, cAIC4, datawizard, galamm, ggeffects, gratia, insight, lme4, modelbased, MuMIn, performance, rstanarm, tramME

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gamm4 to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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