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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
Author: Matteo Fasiolo [aut, cre], Raphael Nedellec [aut], Yannig Goude [ctb], Christian Capezza [ctb], Simon N. Wood [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo at gmail.com>
BugReports: https://github.com/mfasiolo/mgcViz/issues
License: GPL-3
URL: https://github.com/mfasiolo/mgcViz
NeedsCompilation: no
Citation: mgcViz citation info
CRAN checks: mgcViz results

Documentation:

Reference manual: mgcViz.pdf
Vignettes: mgcViz_vignette

Downloads:

Package source: mgcViz_0.1.11.tar.gz
Windows binaries: r-devel: mgcViz_0.1.11.zip, r-release: mgcViz_0.1.11.zip, r-oldrel: mgcViz_0.1.11.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mgcViz 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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