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sure: 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 (2018) <doi:10.1080/01621459.2017.1292915> and Greenwell et al. (2018) <doi:10.32614/RJ-2018-004>. 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 'plot' methods for producing standard diagnostic plots using lightweight base R graphics (via 'tinyplot'). The package currently supports cumulative link models from packages 'MASS', 'ordinal', 'rms', and 'VGAM', binary and other generalized linear models fit with 'glm', and multinomial models or general classifiers via a matrix of predicted class probabilities.

Version: 0.3.1
Depends: R (≥ 4.0.0)
Imports: stats
Suggests: goftest, knitr, MASS, ordinal, PResiduals, rmarkdown, rms, tinyplot, tinytest, VGAM
Published: 2026-10-24
DOI: 10.32614/CRAN.package.sure
Author: Brandon Greenwell [aut, cre], Andrew McCarthy [aut], Bradley Boehmke [aut], Liz Glaser [ctb]
Maintainer: Brandon Greenwell <greenwell.brandon at gmail.com>
BugReports: https://github.com/bgreenwell/sure/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/bgreenwell/sure, https://bgreenwell.github.io/sure/, https://bgreenwell.r-universe.dev/sure
NeedsCompilation: no
Citation: sure citation info
Materials: README, NEWS
CRAN checks: sure results

Documentation:

Reference manual: sure.html , sure.pdf
Vignettes: Introduction to surrogate residuals in R (source, R code)

Downloads:

Package source: sure_0.3.1.tar.gz
Windows binaries: r-devel: sure_0.3.1.zip, r-release: sure_0.3.1.zip, r-oldrel: sure_0.3.1.zip
macOS binaries: r-release (arm64): sure_0.3.1.tgz, r-oldrel (arm64): sure_0.3.1.tgz, r-release (x86_64): sure_0.3.1.tgz, r-oldrel (x86_64): sure_0.3.1.tgz
Old sources: sure archive

Reverse dependencies:

Reverse depends: weightedCL

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.