cgetC {bayesm} | R Documentation

## Obtain A List of Cut-offs for Scale Usage Problems

### Description

`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.

### Usage

    cgetC(e, k)

### Arguments

`e` | quadratic parameter (>0 and less than 1)
`k` | items are on a scale from 1, ..., k

### Value

A vector of k+1 cut-offs.

### Warning

This is a utility function which implements no error-checking.

### Author(s)

Rob McCulloch and Peter Rossi, Graduate School of Business, University of Chicago. Peter.Rossi@ChicagoGsb.edu.

### References

Rossi et al (2001), “Overcoming Scale Usage Heterogeneity,” JASA96, 20-31.

### See Also

`rscaleUsage`

### Examples

    ##
    cgetC(.1,10)

[Package bayesm version 2.0-8 Index]