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 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) . Depends: R (>= 3.3.0), boot, splines, Deriv License: GPL (>= 2) LazyData: true RoxygenNote: 7.1.1 Encoding: UTF-8 NeedsCompilation: no Packaged: 2026-06-19 09:16:04 UTC; root Repository: https://maurizio-manuguerra-mq.r-universe.dev Date/Publication: 2020-12-02 22:10:02 UTC RemoteUrl: https://github.com/cran/ordinalCont RemoteRef: HEAD RemoteSha: 20ca4130eed5de99b6762ba1ac85a57bb3f4b950