https://github.com/koalaverse/sure

Surrogate residuals for cumulative link and general regression models in R
https://github.com/koalaverse/sure

categorical-data diagnostics ordinal-regression residuals

Last synced: 3 days ago
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Surrogate residuals for cumulative link and general regression models in R

• Host: GitHub
• URL: https://github.com/koalaverse/sure
• Owner: koalaverse
• Created: 2017-07-02T12:47:28.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2020-02-04T19:14:45.000Z (over 5 years ago)
• Last Synced: 2024-10-28T17:32:29.483Z (7 months ago)
• Topics: categorical-data, diagnostics, ordinal-regression, residuals
• Language: R
• Homepage: https://koalaverse.github.io/sure/index.html
• Size: 10.1 MB
• Stars: 9
• Watchers: 6
• Forks: 2
• Open Issues: 17
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

README

        
---

output:

  md_document:

    variant: markdown_github

---

```{r setup, echo = FALSE}

knitr::opts_chunk$set(

  cache = TRUE,

  collapse = TRUE,

  comment = "#>",

  fig.align = "center",

  fig.path = "man/figures/README-"

)

```

# sure: Surrogate Residuals 

[![Build Status](https://travis-ci.org/koalaverse/sure.svg?branch=master)](https://travis-ci.org/koalaverse/sure)

[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/koalaverse/sure?branch=master&svg=true)](https://ci.appveyor.com/project/koalaverse/sure)

[![codecov](https://codecov.io/gh/koalaverse/sure/branch/master/graph/badge.svg)](https://codecov.io/gh/koalaverse/sure)

## Overview 

An R package for constructing **SU**rrogate-based **RE**siduals and diagnostics for ordinal and general regression models; based on the approach described in [Dungang and Zhang (2017)](http://www.tandfonline.com/doi/abs/10.1080/01621459.2017.1292915?journalCode=uasa20).

## Installation

The `sure` package is [currently listed on CRAN](https://CRAN.R-project.org/package=sure) and can easily be installed:

```r

# 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