A Collection of Graphic Tools for GLM Diagnostics and some Extensions
Added Variable Plot
Visualize Cook's distances
Graphical analysis of Deviance
Visualize DFbetas
Compatibility of functions
Influence Diagnostic Measures
Visualize Leverages
Checking linearity of link function
Graphical normality testing for quantile residuals
Checking adequacy of variance function
Excluding a variable from the model
Provides diagnostic graphic tools for GLMs, beta-binomial regression model (estimated by 'VGAM' package), beta regression model (estimated by 'betareg' package) and negative binomial regression model (estimated by 'MASS' package). Since most of functions implemented in 'glmxdiag' already exist in other packages, the aim is to provide the user unique functions that work on almost all regression models previously specified. Details about some of the implemented functions can be found in Brown (1992) <doi:10.2307/2347617>, Dunn and Smyth (1996) <doi:10.2307/1390802>, O'Hara Hines and Carter (1993) <doi:10.2307/2347405>, Wang (1985) <doi:10.2307/1269708>.