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 r-project.org>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	ChangeLog
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, vows
Reverse imports:	gamm4.test, lwqs, mgcViz, projpred, refund, voxel
Reverse suggests:	buildmer, cAIC4, datawizard, effectsize, ggeffects, gratia, insight, lme4, modelbased, MuMIn, performance, tramME

Linking:

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