README.md

In AFIT-R/sure: Surrogate Residuals for Ordinal and General Regression Models

sure: Surrogate Residuals

Overview

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 listed on CRAN and can easily be installed:

# Install from CRAN (recommended)
install.packages("sure")

# Alternatively, install the development version from GitHub
if (!requireNamespace("devtools")) install.packages("devtools")
devtools::install_github("koalaverse/sure")

References

Liu, D. and Zhang, H. 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

Greenwell, B.M., McCarthy, A.J., Boehmke, B.C. & Dungang, L. (2018) “Residuals and diagnostics for binary and ordinal regression models: An introduction to the sure package.” The R Journal (pre-print). URL https://journal.r-project.org/archive/2018/RJ-2018-004/index.html

AFIT-R/sure documentation built on Feb. 8, 2020, 11:55 a.m.