ssym: Fitting Semiparametric Symmetric Regression Models

This package allows to fit a regression model suitable for data analysis in which the conditional distribution of the response is symmetric and continuous and where its location and dispersion parameters are modelled through semiparametric functions. Supported distributions for the model error include normal, Student-t, power exponential, symmetric hyperbolic, contaminated normal, slash, sinh-normal and sinh-t distributions.

Version: 1.5
Depends: GIGrvg, numDeriv, gsl, normalp
Suggests: NISTnls, sn
Published: 2014-08-21
Author: Luis Hernando Vanegas and Gilberto A. Paula
Maintainer: Luis Hernando Vanegas <hvanegasp at>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: ssym results


Reference manual: ssym.pdf
Package source: ssym_1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: ssym_1.5.tgz, r-oldrel: ssym_1.5.tgz
OS X Mavericks binaries: r-release: not available
Old sources: ssym archive

Reverse dependencies:

Reverse suggests: BayesGESM