An implementation of the surrogate approach to residuals and
diagnostics for ordinal and general regression models; for details, see Liu
and Zhang (2017)
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).
sure package is currently listed on CRAN and can easily be installed:
# Install from CRAN (recommended)install.packages("sure")# Alternatively, install the development version from GitHubif (!requireNamespace("devtools")) install.packages("devtools")devtools::install_github("AFIT-R/sure")
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
surrogatefor returning the surrogate response values used in calculating the surrogate-based residuals. The surrogate response values can be useful for checking the proportionality assumption of fitted cumulative link models, among other things.
VGAMpackage (i.e., objects of class
df5for illustrating various uses of the surrogate residual for diagnostics an ordinal regression models.