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ordinalCont : Ordinal Regression Analysis for Continuous Scales

Package: ordinalCont
Title: Ordinal Regression Analysis for Continuous Scales
Version: 0.4
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 nonlinearity. We treat them as ordinal variables, measured on a continuous scale. A function (the g function, currently the generalized logistic 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), fastGHQuad, boot, ucminf
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Packaged: 2015-05-26 05:46:53 UTC; manuguerra
Repository: CRAN
Date/Publication: 2015-05-26 08:24:22

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