This package provides MCMC model fitting for the semiparametric Bayesian factor-analytic copula model, an analogue of traditional factor analysis where inference is based on the (unobserved) correlation matrix of a Gaussian copula instead of the covariance or correlation matrix of the data itself. It handles ordinal data that is discrete or continuous using an approximate rank-based likelihood.
Package: | sbfac |
Type: | Package |
Version: | 0.1.9.7 |
Date: | 2011-03-17 |
License: | GPL-3 |
LazyLoad: | yes |
Jared Murray jared.murray@stat.duke.edu
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