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sure  

Surrogate Residuals for Ordinal and General Regression Models
View on CRAN: Click here


Download and install sure package within the R console
Install from CRAN:
install.packages("sure")

Install from Github:
library("remotes")
install_github("cran/sure")

Install by package version:
library("remotes")
install_version("sure", "0.2.0")



Attach the package and use:
library("sure")
Maintained by
Brandon Greenwell
[Scholar Profile | Author Map]
First Published: 2017-08-21
Latest Update: 2017-09-19
Description:
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.
How to cite:
Brandon Greenwell (2017). sure: Surrogate Residuals for Ordinal and General Regression Models. R package version 0.2.0, https://cran.r-project.org/web/packages/sure. Accessed 21 Apr. 2025.
Previous versions and publish date:
0.1.2 (2017-08-21 00:20)
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Complete documentation for sure
Functions, R codes and Examples using the sure R package
Some associated functions: autoplot.resid . df1 . df2 . df3 . df4 . df5 . getFittedProbs . gof . grid.arrange . resids . sure . surrogate . 
Some associated R codes: autoplot.R . data.R . gof.R . grid.arrange.R . resids.R . sure.R . surrogate.R . utils.R .  Full sure package functions and examples
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