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
Author: Simon Wood, Fabian Scheipl
Maintainer: Simon Wood <simon.wood at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: gamm4 results


Reference manual: gamm4.pdf


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

Reverse dependencies:

Reverse depends: vagam, vows
Reverse imports: gamm4.test, lwqs, mgcViz, projpred, refund, voxel
Reverse suggests: buildmer, cAIC4, datawizard, effectsize, ggeffects, gratia, insight, lme4, metagam, modelbased, MuMIn, performance, selfmade


Please use the canonical form to link to this page.