BayesGESM: Bayesian Analysis of Generalized Elliptical Semiparametric Models

This package allows obtain the statistical inference based on Bayesian approach for regression models under the assumption that independent additive errors follow normal, Student-t, slash, contaminated normal, Laplace or symmetric hyperbolic distribution, where both location and dispersion parameters of the response variable distribution include nonparametric additive components described by B-splines.

Version: 1.0
Depends: splines, truncdist, GIGrvg, normalp, gsl
Suggests: ssym
Published: 2014-05-08
Author: Luz Marina Rondon and Heleno Bolfarine
Maintainer: Luz Marina Rondon <lumarp at>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: BayesGESM results


Reference manual: BayesGESM.pdf
Package source: BayesGESM_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: BayesGESM_1.0.tgz, r-oldrel: BayesGESM_1.0.tgz
OS X Mavericks binaries: r-release: not available