Other packages > Find by keyword >

mgcViz  

Visualisations for Generalized Additive Models
View on CRAN: Click here


Download and install mgcViz package within the R console
Install from CRAN:
install.packages("mgcViz")

Install from Github:
library("remotes")
install_github("cran/mgcViz")

Install by package version:
library("remotes")
install_version("mgcViz", "0.2.1")



Attach the package and use:
library("mgcViz")
Maintained by
Matteo Fasiolo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-30
Latest Update: 2025-07-04
Description:
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'.
How to cite:
Matteo Fasiolo (2018). mgcViz: Visualisations for Generalized Additive Models. R package version 0.2.1, https://cran.r-project.org/web/packages/mgcViz. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.1.1 (2018-06-30 19:19), 0.1.3 (2019-01-23 16:10), 0.1.4 (2019-06-07 18:50), 0.1.6 (2020-03-04 16:10), 0.1.8 (2021-08-22 01:40), 0.1.9 (2021-10-05 09:10), 0.1.11 (2023-10-06 12:50), 0.2.0 (2025-04-11 13:30)
Other packages that cited mgcViz R package
View mgcViz citation profile
Other R packages that mgcViz depends, imports, suggests or enhances
Complete documentation for mgcViz
Functions, R codes and Examples using the mgcViz R package
Some associated functions: ALE.gam . ALE . check.gamViz . check0D . check1D . check2D . fix.family.cdf . gamV . gammV . getGam . getViz . gridPrint . l_bound . l_ciBar . l_ciLine . l_ciPoly . l_clusterLine . l_coordContour . l_dens1D . l_dens2D . l_densCheck . l_fitBar . l_fitContour . l_fitDens . l_fitLine . l_fitPoints . l_fitRaster . l_glyphs2D . l_gridCheck1D . l_gridCheck2D . l_gridQCheck1D . l_gridQCheck2D . l_hist . l_points . l_poly . l_pvContour . l_pvRaster . l_rug . l_simLine . l_vline . listLayers . mqgamV . plot.ALE1D . plot.fs.interaction.1D . plot.gamViz . plot.mgamViz . plot.mgcv.smooth.1D . plot.mgcv.smooth.2D . plot.mgcv.smooth.MD . plot.mrf.smooth . plot.ptermFactor . plot.ptermInteraction . plot.ptermNumeric . plot.random.effect . plot.sos.smooth . plotDiff.mgcv.smooth.1D . plotDiff.mgcv.smooth.2D . plotDiff . plotDiff.sos.smooth . plotRGL.mgcv.smooth.2D . plotRGL.mgcv.smooth.MD . plotRGL . plotSlice . postSim . print.checkGam . print.plotGam . print.plotSmooth . print.qqGam . pterm . qgamV . qq.gamViz . qq . qqplots . residuals.gamViz . shine . shine.qqGam . simulate.gam . sm . zoom . zoom.qqGam . zto1 . 
Some associated R codes: ALE_gam.R . I_argMaster.R . I_argSetup.R . I_compute_qq_gam.R . I_createP.R . I_detNumPages.R . I_discretize_qq_gam.R . I_extractSeveralEffects.R . I_fastKernDens.R . I_getDataTypeY.R . I_getGlyData.R . I_getResTypeAndMethod.R . I_getresidualsTransformSubsample.R . I_initialize.R . I_jacobian_wrap.R . I_lolaxy.R . I_mapVarClass.R . I_multinomJacobian.R . I_plotDiffFit.R . I_plot_qq_gam.R . I_prepare.mgcv.smooth.R . I_prepareInnerSI.R . I_prepareNested.R . I_prepareP.R . I_preparePlotSmooth1D.R . I_preparePlotSmooth2D.R . I_preparePlotSmoothMD.R . I_prepare_ALE.R . I_prepare_fs_interaction.R . I_prepare_mrf_smooth.R . I_prepare_random_effect.R . I_prepare_sos_smooth.R . I_repole.R . I_simpleCap.R . L_bound.R . L_ciBar.R . L_ciLine.R . L_ciPoly.R . L_clusterLine.R . L_coordContour.R . L_dens1D.R . L_dens2D.R . L_densCheck.R . L_fitBar.R . L_fitContour.R . L_fitDens.R . L_fitLine.R . L_fitPoints.R . L_fitRaster.R . L_glyphs2D.R . L_gridCheck1D.R . L_gridCheck2D.R . L_gridQCheck1D.R . L_hist.R . L_points.R . L_poly.R . L_pvContour.R . L_pvRaster.R . L_rug.R . L_simLine.R . L_vline.R . add.R . bamV.R . bin1D.R . check0D.R . check1D.R . check2D.R . check_gamViz.R . fix_family_cdf.R . gamV.R . gamm4V.R . gammV.R . generic_functions.R . getGam.R . getViz.R . gridPrint.R . l_gridQCheck2D.R . listLayers.R . mqgamV.R . plot.ptermInteraction.R . plot.ptermMatrixNumeric.R . plotDiff_mgcv_smooth_1D.R . plotDiff_mgcv_smooth_2D.R . plotDiff_sos_smooth.R . plotRGL_mgcv_smooth_2D.R . plotRGL_mgcv_smooth_MD.R . plotSlice.R . plot_ALE1D.R . plot_fs_interaction_1D.R . plot_gamViz.R . plot_mgamViz.R . plot_mgcv_smooth_1D.R . plot_mgcv_smooth_2D.R . plot_mgcv_smooth_MD.R . plot_mrf_smooth.R . plot_multi_mgcv_smooth_1D.R . plot_multi_mgcv_smooth_2D.R . plot_multi_ptermFactor.R . plot_multi_ptermInteraction.R . plot_multi_ptermLogical.R . plot_multi_ptermNumeric.R . plot_multi_random_effect.R . plot_ptermFactor.R . plot_ptermLogical.R . plot_ptermNumeric.R . plot_random_effect.R . plot_sos_smooth.R . postSim.R . print_checkGam.R . print_plotGam.R . print_plotSmooth.R . print_qq_gam.R . pterm.R . qgamV.R . qq_gamViz.R . qqplots.R . residuals_gamViz.R . shine.qqGam.R . simulate_gam.R . sm.R . utilities.R . zoom_qqGam.R . zzz.R .  Full mgcViz package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

generator  
Generate Data Containing Fake Personally Identifiable Information
Allows users to quickly and easily generate fake data containing Personally Identifiable Informatio ...
Download / Learn more Package Citations See dependency  
candisc  
Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Functions for computing and visualizing generalized canonical discriminant analyses and canonical c ...
Download / Learn more Package Citations See dependency  
vars  
VAR Modelling
Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error varia ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
ptycho  
Bayesian Variable Selection with Hierarchical Priors
Bayesian variable selection for linear regression models using hierarchical priors. There is a pr ...
Download / Learn more Package Citations See dependency  

26,270

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA