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 (2017) <doi:10.1080/01621459.2017.1292915>. 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.
| Version: |
0.2.0 |
| Depends: |
R (≥ 3.1) |
| Imports: |
ggplot2 (≥ 2.2.1), goftest, gridExtra, stats |
| Suggests: |
MASS, ordinal, rms, testthat, VGAM |
| Published: |
2017-09-19 |
| DOI: |
10.32614/CRAN.package.sure |
| Author: |
Brandon Greenwell [aut, cre],
Andrew McCarthy [aut],
Brad Boehmke [aut],
Dungang Liu [ctb] |
| Maintainer: |
Brandon Greenwell <greenwell.brandon at gmail.com> |
| BugReports: |
https://github.com/AFIT-R/sure/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/AFIT-R/sure |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
sure results |
Documentation:
Downloads:
Reverse dependencies:
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