Residual diagnostics is an important topic in the classroom, but it is less often used in practice by Brandon M. Greenwell, Andrew J. McCarthy, Bradley C. Boehmke, and Dungang Liu Introduction to the sure Package Ordinal Regression Models: An
Supplementary materials are available in addition to this article. It can be downloaded at RJ-2018-004.zip
MASS, VGAM, ordinal, rms, PResiduals, sure, ggplot2
Econometrics, Psychometrics, SocialSciences, Distributions, Environmetrics, Multivariate, Survival, ExtremeValue, Graphics, NumericalMathematics, Phylogenetics, ReproducibleResearch, Robust
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For attribution, please cite this work as
Greenwell, et al., "The R Journal: Residuals and Diagnostics for Binary and Ordinal Regression Models: An Introduction to the sure Package", The R Journal, 2018
BibTeX citation
@article{RJ-2018-004,
author = {Greenwell, Brandon M. and McCarthy, Andrew J. and Boehmke, Bradley C. and Liu, Dungang},
title = {The R Journal: Residuals and Diagnostics for Binary and Ordinal Regression Models: An Introduction to the sure Package},
journal = {The R Journal},
year = {2018},
note = {https://doi.org/10.32614/RJ-2018-004},
doi = {10.32614/RJ-2018-004},
volume = {10},
issue = {1},
issn = {2073-4859},
pages = {381-394}
}