mgcViz: Visualisations for Generalized Additive Models

Extension of the 'mgcv' package, providing visual tools for Generalized Additive Models that exploit the additive structure of such models, scale to large data sets and can be used in conjunction with a wide range of response distributions. The focus is providing visual methods for better understanding the model output and for aiding model checking and development beyond simple exponential family regression. The graphical framework is based on the layering system provided by 'ggplot2'.

Version: 0.1.11
Depends: R (≥ 3.4), mgcv (≥ 1.8-28), qgam (≥ 1.2.3), ggplot2
Imports: gamm4, matrixStats, viridis, GGally, KernSmooth, gridExtra, plyr, shiny, miniUI
Suggests: rgl, knitr, rmarkdown, testthat, MASS, webshot2
Published: 2023-10-06
DOI: 10.32614/CRAN.package.mgcViz
Author: Matteo Fasiolo [aut, cre], Raphael Nedellec [aut], Yannig Goude [ctb], Christian Capezza [ctb], Simon N. Wood [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo at>
License: GPL-3
NeedsCompilation: no
Citation: mgcViz citation info
CRAN checks: mgcViz results


Reference manual: mgcViz.pdf
Vignettes: mgcViz_vignette


Package source: mgcViz_0.1.11.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mgcViz_0.1.11.tgz, r-oldrel (arm64): mgcViz_0.1.11.tgz, r-release (x86_64): mgcViz_0.1.11.tgz, r-oldrel (x86_64): mgcViz_0.1.11.tgz
Old sources: mgcViz archive

Reverse dependencies:

Reverse suggests: DHARMa


Please use the canonical form to link to this page.