cgetC {bayesm} | R Documentation |
cgetC
obtains a list of censoring points, or cut-offs, used in the ordinal multivariate probit model of Rossi et al (2001). This approach uses a quadratic parameterization of the cut-offs. The model is useful for modeling correlated ordinal data on a scale from 1 to k with different scale usage patterns.
cgetC(e, k)
e |
quadratic parameter (0 < |
k |
items are on a scale from 1,…, k |
A vector of k+1 cut-offs.
This is a utility function which implements no error-checking.
Rob McCulloch and Peter Rossi, Anderson School, UCLA. perossichi@gmail.com.
Rossi et al (2001), “Overcoming Scale Usage Heterogeneity,” JASA 96, 20–31.
cgetC(0.1, 10)