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

Encoding: UTF-8
Package: stochvol
Type: Package
Title: Efficient Bayesian Inference for Stochastic Volatility (SV)
Models
Version: 1.2.3
Authors@R: person("Gregor", "Kastner", role = c("aut", "cre"), email = "gregor.kastner@wu.ac.at")
Maintainer: Gregor Kastner <gregor.kastner@wu.ac.at>
Description: Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models via Markov chain Monte Carlo (MCMC) methods.
License: GPL (>= 2)
Depends: R (>= 3.0.2), coda
Imports: Rcpp (>= 0.11), methods, stats, graphics, utils
Suggests: mvtnorm
LinkingTo: Rcpp, RcppArmadillo (>= 0.4)
NeedsCompilation: yes
Packaged: 2016-02-18 06:46:57 UTC; dejot
Author: Gregor Kastner [aut, cre]
Repository: CRAN
Date/Publication: 2016-02-18 08:56:13

● Data Source: CranContrib
● Cran Task View: Bayesian, Finance, TimeSeries
● 0 images, 13 functions, 1 datasets
● Reverse Depends: 0