cgetC

<code>cgetC</code> 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.

utilities

bayesm covers many important models used
  in marketing and micro-econometrics applications. 
  The package includes:
  Bayes Regression (univariate or multivariate dep var),
  Multinomial Logit (MNL) and Multinomial Probit (MNP),
  Multivariate Probit,
  Negative Binomial Regression,
  Multivariate Mixtures of Normals,
  Hierarchical Linear Models with normal prior and covariates,
  Hierarchical Multinomial Logits with mixture of normals prior
     and covariates,
  Hierarchical Negative Binomial Regression Models,
  Bayesian analysis of choice-based conjoint data,
  Bayesian treatment of linear instrumental variables models,
  and
  Analyis of Multivariate Ordinal survey data with scale
     usage heterogeneity (as in Rossi et al, JASA (01)).
  For further reference, consult our book, Bayesian Statistics and
  Marketing by Allenby, McCulloch and Rossi. 

Peter Rossi

bayesm

Bayesian Inference for Marketing/Micro-econometrics

cgetC function

This is a utility function which implements <strong>no</strong> error-checking.

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

Description

Usage

Arguments

Value

Warning

References

See Also

Examples