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'.


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Reference manual

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install.packages("mgcViz")

0.1.4 by Matteo Fasiolo, 6 months ago


https://github.com/mfasiolo/mgcViz


Report a bug at https://github.com/mfasiolo/mgcViz/issues


Browse source code at https://github.com/cran/mgcViz


Authors: Matteo Fasiolo [aut, cre] , Raphael Nedellec [aut] , Yannig Goude [ctb] , Simon N. Wood [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports gamm4, matrixStats, viridis, GGally, KernSmooth, gridExtra, plyr, shiny, miniUI

Depends on mgcv, qgam, ggplot2, rgl

Suggests knitr, rmarkdown, testthat, MASS


See at CRAN