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, ..., k with different scale usage patterns.
cgetC(e, k)
e |
quadratic parameter (>0 and less than 1) |
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, Graduate School of Business, University of Chicago. Peter.Rossi@ChicagoGsb.edu.
Rossi et al (2001), “Overcoming Scale Usage Heterogeneity,” JASA96, 20-31.
## cgetC(.1,10)