ordinalCont: Ordinal Regression Analysis for Continuous Scales
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 |
| 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 NEWS |
| CRAN checks: |
ordinalCont results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ordinalCont
to link to this page.