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Surrogate Residuals for Ordinal and General Regression Models

Installation

About

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.

github.com/AFIT-R/sure
Bug report File report

Key Metrics

Version 0.2.0
R ≥ 3.1
Published 2017-09-19 2401 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Brandon Greenwell

greenwell.brandon@gmail.com

Authors

Brandon Greenwell

aut / cre

Andrew McCarthy

aut

Brad Boehmke

aut

Dungang Liu

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sure archive

Depends

R ≥ 3.1

Imports

ggplot2 ≥ 2.2.1
goftest
gridExtra
stats

Suggests

MASS
ordinal
rms
testthat
VGAM