sure
0.2.0Surrogate Residuals for Ordinal and General Regression Models
Overview
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.
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- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 80%
- Return-value docs
- 80%
- References docs
- 58%
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People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.2.0Latest
- 0.1.22017-08-21
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-08-21
- Total releases
- 2 / 9 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.1
- Bundled data
- 62 KB / 5 files
- Download size
- 176 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet