cgetC: Obtain A List of Cut-offs for Scale Usage Problems

In bayesm: Bayesian Inference for Marketing/Micro-Econometrics

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 to k with different scale usage patterns.

Usage

cgetC(e, k)

Arguments

e	quadratic parameter (0 < e < 1)
k	items are on a scale from 1,\ldots, 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, Anderson School, UCLA. [e-mail].

References

Rossi et al (2001), “Overcoming Scale Usage Heterogeneity,” JASA 96, 20–31.

See Also

rscaleUsage

Examples

cgetC(0.1, 10)

bayesm documentation built on Sept. 24, 2023, 1:07 a.m.