mgcViz: Visualisations for Generalized Additive Models

Extension of the 'mgcv' package, providing visual tools for Generalized Additive Models (GAMs) that exploit the additive structure of GAMs, 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: 0.1.1
Depends: R (≥ 3.4), mgcv (≥ 1.8-24), qgam (≥ 1.2.2), ggplot2, rgl
Imports: shiny, matrixStats, viridis, colourpicker, miniUI, rstudioapi, plotly, GGally, KernSmooth, data.table, dplyr, gridExtra, mvnfast, plyr
Suggests: knitr, rmarkdown, testthat, MASS
Published: 2018-06-30
Author: Matteo Fasiolo [aut, cre], Raphael Nedellec [aut]
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

Downloads:

Reference manual: mgcViz.pdf
Vignettes: mgcViz_vignette
Package source: mgcViz_0.1.1.tar.gz
Windows binaries: r-devel: mgcViz_0.1.1.zip, r-release: mgcViz_0.1.1.zip, r-oldrel: mgcViz_0.1.1.zip
OS X binaries: r-release: mgcViz_0.1.1.tgz, r-oldrel: mgcViz_0.1.1.tgz

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