stochvol: Efficient Bayesian Inference for Stochastic Volatility (SV) Models

This package provides efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models via Markov chain Monte Carlo (MCMC) methods.

Version: 0.6-0
Depends: R (≥ 2.14), Rcpp (≥ 0.9.10), coda
LinkingTo: Rcpp
Published: 2013-04-17
Author: Gregor Kastner
Maintainer: Gregor Kastner <gregor.kastner at wu.ac.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Bayesian, Finance, TimeSeries
CRAN checks: stochvol results

Downloads:

Package source: stochvol_0.6-0.tar.gz
MacOS X binary: stochvol_0.6-0.tgz
Windows binary: stochvol_0.6-0.zip
Reference manual: stochvol.pdf
News/ChangeLog:NEWS
Old sources: stochvol archive