model.matrix.ocm

an object of class <code>ocm</code>, usually, a result of a call to <code>ocm</code>.

object

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

random.terms

further arguments passed to or from other methods.

<code>model.matrix.ocm</code> is the ordinalCont specific method for the generic function <code>model.matrix</code>, 
which extracts the model matrix from objects of class <code>ocm</code>.

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>.

model.matrix.ocm: Model Matrix

Description

Usage

Arguments

Value