Package: ordinalCont
Title: Ordinal Regression Analysis for Continuous Scales
Version: 1.2.2
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. Currently the logit
link, which corresponds to a standard logistic distribution, is implemented.
Depends: R (>= 3.3.3), boot, splines
License: GPL (>= 2)
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-30 06:26:52 UTC; manuguerra
Repository: CRAN
Date/Publication: 2017-11-30 06:34:27 UTC

Package: ordinalCont
Title: Ordinal Regression Analysis for Continuous Scales
Version: 1.2
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. Currently the logit
link, which corresponds to a standard logistic distribution, is implemented.
Depends: R (>= 3.1.1), boot, splines
License: GPL (>= 2)
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-06-15 23:50:09 UTC; manuguerra
Repository: CRAN
Date/Publication: 2017-06-16 18:10:21 UTC