Surrogate Residuals for Ordinal and General Regression Models

An implementation of the surrogate approach to residuals and diagnostics for ordinal and general regression models; for details, see Liu and Zhang (2017) . These residuals can be used to construct standard residual plots for model diagnostics (e.g., residual-vs-fitted value plots, residual-vs-covariate plots, Q-Q plots, etc.). The package also provides an 'autoplot' function for producing standard diagnostic plots using 'ggplot2' graphics. The package currently supports cumulative link models from packages 'MASS', 'ordinal', 'rms', and 'VGAM'. Support for binary regression models using the standard 'glm' function is also available.


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install.packages("sure")

0.2.0 by Brandon Greenwell, 2 months ago


https://github.com/AFIT-R/sure


Report a bug at https://github.com/AFIT-R/sure/issues


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


Authors: Brandon Greenwell [aut, cre], Andrew McCarthy [aut], Brad Boehmke [aut], Dungang Liu [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ggplot2, goftest, gridExtra, stats

Suggests MASS, ordinal, rms, testthat, VGAM


See at CRAN