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sure: Surrogate Residuals

An R package for constructing SUrrogate-based REsiduals and diagnostics for ordinal and general regression models; based on the approach described in Dungang and Zhang (2017).

Installation

The sure package is currently only available from GitHub, but can easilly be installed using devtools:

if (!requireNamespace("devtools")) install.packages("devtools")
devtools::install_github("AFIT-R/sure")

Note: This package is still in development, use at your own risk!

References

Liu, Dungang and Zhang, Heping. Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach. Journal of the American Statistical Association (accepted). URL http://www.tandfonline.com/doi/abs/10.1080/01621459.2017.1292915?journalCode=uasa20

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Version

Install

install.packages('sure')

Monthly Downloads

624

Version

0.1.2

License

GPL (>= 2)

Last Published

August 20th, 2017

Functions in sure (0.1.2)

autoplot.resid

Residual Plots for Cumulative Link and General Regression Models
df1

Simulated Quadratic Data
resids

Surrogate Residuals
sure

sure: An R package for constructing surrogate-based residuals and diagnostics for ordinal and general regression models.
df2

Simulated Heteroscedastic Data
df3

Simulated Gumbel Data
gof

Goodness-of-Fit Simulation
grid.arrange

Arrange multiple grobs on a page