sure: Surrogate Residuals for Ordinal and General Regression Models
Version 0.2.0

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.

Getting started

Package details

AuthorBrandon Greenwell [aut, cre], Andrew McCarthy [aut], Brad Boehmke [aut], Dungang Liu [ctb]
Date of publication2017-09-19 18:04:46 UTC
MaintainerBrandon Greenwell <[email protected]>
LicenseGPL (>= 2)
Version0.2.0
URL https://github.com/AFIT-R/sure
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sure")

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sure documentation built on Sept. 20, 2017, 1:03 a.m.