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sure

Surrogate residuals for cumulative link and general regression models in R

https://github.com/koalaverse/sure

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Committers with academic emails
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.7%) to scientific vocabulary

Keywords

categorical-data diagnostics ordinal-regression residuals

Keywords from Contributors

interaction-effect partial-dependence-plot supervised-learning-algorithms variable-importance variable-importance-plots
Last synced: 6 months ago · JSON representation

Repository

Surrogate residuals for cumulative link and general regression models in R

Basic Info
Statistics
  • Stars: 8
  • Watchers: 5
  • Forks: 4
  • Open Issues: 19
  • Releases: 0
Topics
categorical-data diagnostics ordinal-regression residuals
Created over 8 years ago · Last pushed 12 months ago
Metadata Files
Readme

README.Rmd 

---
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

Owner

  • Name: koalaverse
  • Login: koalaverse
  • Kind: organization

A collection of koality code, software packages, and educational material for data science.

GitHub Events

Total
  • Issues event: 1
  • Issue comment event: 6
  • Push event: 2
  • Pull request event: 7
  • Fork event: 2
Last Year
  • Issues event: 1
  • Issue comment event: 6
  • Push event: 2
  • Pull request event: 7
  • Fork event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 122
  • Total Committers: 4
  • Avg Commits per committer: 30.5
  • Development Distribution Score (DDS): 0.5
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Brandon Greenwell g****n@g****m 61
Brandon Greenwell g****b@i****m 47
Brad Boehmke b****e@g****m 13
b780620 B****l@8****m 1
Committer Domains (Top 20 + Academic)
8451.com: 1 illuminationworksllc.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 39
  • Total pull requests: 8
  • Average time to close issues: 21 days
  • Average time to close pull requests: 4 days
  • Total issue authors: 8
  • Total pull request authors: 2
  • Average comments per issue: 0.51
  • Average comments per pull request: 0.75
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 8
  • Average time to close issues: N/A
  • Average time to close pull requests: 4 days
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.75
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • bgreenwell (31)
  • bradleyboehmke (2)
  • fab2001 (1)
  • Famondir (1)
  • riccim94 (1)
  • ryanvosbigian (1)
  • JCruk (1)
  • ricardobatistad (1)
Pull Request Authors
  • riccim94 (6)
  • millerdl-CEH (2)
Top Labels
Issue Labels
enhancement (8) bug (1)
Pull Request Labels

Dependencies

DESCRIPTION cran
  • R >= 3.1 depends
  • ggplot2 >= 2.2.1 imports
  • goftest * imports
  • gridExtra * imports
  • stats * imports
  • MASS * suggests
  • PResiduals * suggests
  • VGAM * suggests
  • knitr * suggests
  • mgcv * suggests
  • ordinal * suggests
  • rmarkdown * suggests
  • rms * suggests
  • testthat * suggests