sbfac-package: Semiparametric Bayesian Factor-Analytic Copulae for Mixed...

Description Details Author(s)

Description

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.

Details

Package: sbfac
Type: Package
Version: 0.1.9.7
Date: 2011-03-17
License: GPL-3
LazyLoad: yes

Author(s)

Jared Murray jared.murray@stat.duke.edu


sbfac documentation built on May 2, 2019, 5:57 p.m.