The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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:

Reference manual: ordinalCont.pdf

Downloads:

Package source: ordinalCont_2.0.2.tar.gz
Windows binaries: r-devel: ordinalCont_2.0.2.zip, r-release: ordinalCont_2.0.2.zip, r-oldrel: ordinalCont_2.0.2.zip
macOS binaries: r-release (arm64): ordinalCont_2.0.2.tgz, r-oldrel (arm64): ordinalCont_2.0.2.tgz, r-release (x86_64): ordinalCont_2.0.2.tgz, r-oldrel (x86_64): ordinalCont_2.0.2.tgz
Old sources: ordinalCont archive

Reverse dependencies:

Reverse suggests: tram, tramME

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ordinalCont to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.