Ordinal Regression Analysis for Continuous Scales
Overview
A regression framework for response variables which are continuous self-rating scales such as the Visual Analog Scale (VAS) used in pain assessment, or the Linear Analog Self-Assessment (LASA) scales in quality of life studies. These scales measure subjects' perception of an intangible quantity, and cannot be handled as ratio variables because of their inherent non-linearity. We treat them as ordinal variables, measured on a continuous scale. A function (the g function) connects the scale with an underlying continuous latent variable. The link function is the inverse of the CDF of the assumed underlying distribution of the latent variable. A variety of link functions are currently implemented. Such models are described in Manuguerra et al (2020) doi:10.18637/jss.v096.i08.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 25includes a package overview page
- Examples that run
- 30%3 run in a plain check · 7 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 24%
Downloads
Dependencies
Installing ordinalCont adds 2 packages (2 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, Deriv 47 KB.
Code & Tests
Datasets
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
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- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 2.0.2Latest
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 2.0.1
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- RR 3.5.0 released · 2018-04-23
- 1.3.02018-01-10 · diff ↗
- 1.2.22017-11-30 · diff ↗
- 1.22017-06-16 · diff ↗
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2015-05-26
- Total releases
- 8 / 11 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.3.0
- Bundled data
- 23 KB / 3 files
- Download size
- 61 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("ordinalCont")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v096.i08.
Cite the R Observatory
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From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.