model.frame.ocm

formula

a data.frame containing the variables in formula.

data

a logical indicating if random terms have to be included in the terms object. Defaults to TRUE.

random.terms

a mix of further arguments to pass to the default method.

<code>model.frame.ocm</code> is the ordinalCont specific method for the generic function <code>model.frame</code>, 
which return a <a rd-options="" href="/link/data.frame?package=ordinalCont&version=2.0.2" data-mini-rdoc="ordinalCont::data.frame">data.frame</a> with the variables needed to use <code>formula</code> and any ... arguments.

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>.

Maurizio Manuguerra

ordinalCont

Ordinal Regression Analysis for Continuous Scales

Maurizio Manuguerra 

Gillian Heller 

model.frame.ocm function

<code>model.frame.ocm</code> is the ordinalCont specific method for the generic function <code>model.frame</code>, 
which return a <a rd-options='' href='data.frame'>data.frame</a> with the variables needed to use <code>formula</code> and any ... arguments.

model.frame.ocm: Model Frame

Description

Usage

Arguments

Value