Ordinal Regression Analysis for Continuous Scales
Anova method for Continuous Ordinal Fits
Extract Model Coefficients
Function to compute the derivatives of the link function needed by the...
Extract the deviance from a fitted Continuous Ordinal Model
Extract AIC from a fitted Continuous Ordinal Model
Extract Model Fitted Values
Model Formulae
Estimated g function for a Fitted Model Object
Function to compute inverse link functions
Extract Log-likelihood for a Continuous Ordinal Model
Model Frame
Model Matrix
Extract Model Coefficients
Ordinal regression for continuous scales
ordinalCont-package
Plot method for Continuous Ordinal Fits
Predict method for Continuous Ordinal Fits
Print anova.ocm objects
Print Continuous Ordinal Regression Objects
Summarizing Continuous Ordinal Fits
Model Terms
Variance-Covariance Matrix for a Fitted Model Object
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>.