Package: ordinalCont
Title: Ordinal Regression Analysis for Continuous Scales
Version: 2.0.1
Authors@R: c(person("Maurizio Manuguerra", role = c("aut", "cre"),
email = "maurizio.manuguerra@mq.edu.au"),
person("Gillian Heller", role = "aut", email = "gillian.heller@mq.edu.au"))
Author: Maurizio Manuguerra [aut, cre],
Gillian Heller [aut]
Maintainer: Maurizio Manuguerra <maurizio.manuguerra@mq.edu.au>
Description: 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.
Depends: R (>= 3.3.0), boot, splines, Deriv
License: GPL (>= 2)
LazyData: true
RoxygenNote: 6.1.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-02-13 22:39:11 UTC; manuguerra
Repository: CRAN
Date/Publication: 2019-02-13 23:20:03 UTC

Package: ordinalCont
Title: Ordinal Regression Analysis for Continuous Scales
Version: 2.0.2
Authors@R: c(person("Maurizio Manuguerra", role = c("aut", "cre"),
email = "maurizio.manuguerra@mq.edu.au"),
person("Gillian Heller", role = "aut", email = "gillian.heller@mq.edu.au"))
Author: Maurizio Manuguerra [aut, cre],
Gillian Heller [aut]
Maintainer: Maurizio Manuguerra <maurizio.manuguerra@mq.edu.au>
Description: 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>.
Depends: R (>= 3.3.0), boot, splines, Deriv
License: GPL (>= 2)
LazyData: true
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-12-02 20:19:09 UTC; manuguerra
Repository: CRAN
Date/Publication: 2020-12-02 23:10:02 UTC