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

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Reference manual: ordinalCont.pdf
Package source: ordinalCont_2.0.2.tar.gz
Windows binaries: r-devel: ordinalCont_2.0.1.zip, r-release: ordinalCont_2.0.2.zip, r-oldrel: ordinalCont_2.0.1.zip
macOS binaries: r-release: ordinalCont_2.0.2.tgz, r-oldrel: ordinalCont_2.0.2.tgz
Old sources: ordinalCont archive

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