ordinalCont: Ordinal Regression Analysis for Continuous Scales (original) (raw)
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>.
| Version: | 2.0.2 |
|---|---|
| Depends: | R (≥ 3.3.0), boot, splines, Deriv |
| Published: | 2020-12-02 |
| DOI: | 10.32614/CRAN.package.ordinalCont |
| Author: | Maurizio Manuguerra [aut, cre], Gillian Heller [aut] |
| Maintainer: | Maurizio Manuguerra <maurizio.manuguerra at mq.edu.au> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | ordinalCont citation info |
| Materials: | README, |
| CRAN checks: | ordinalCont results |
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