CRAN/E | stochvol

stochvol

Efficient Bayesian Inference for Stochastic Volatility (SV) Models

Installation

About

Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models with and without asymmetry (leverage) via Markov chain Monte Carlo (MCMC) methods. Methodological details are given in Kastner and Frühwirth-Schnatter (2014) doi:10.1016/j.csda.2013.01.002 and Hosszejni and Kastner (2019) doi:10.1007/978-3-030-30611-3_8; the most common use cases are described in Hosszejni and Kastner (2021) doi:10.18637/jss.v100.i12 and Kastner (2016) doi:10.18637/jss.v069.i05 and the package examples.

Citation stochvol citation info
gregorkastner.github.io/stochvol/
Bug report File report

Key Metrics

Version 3.2.4
R ≥ 3.5
Published 2024-03-03 60 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks stochvol results

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Maintainer

Maintainer

Darjus Hosszejni

darjus.hosszejni@icloud.com

Authors

Darjus Hosszejni

aut / cre

Gregor Kastner

aut

Material

NEWS
Reference manual
Package source

In Views

Bayesian
Finance
TimeSeries

Vignettes

Dealing with Stochastic Volatility in Time Series Using the R Package stochvol
Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

stochvol archive

Depends

R ≥ 3.5

Imports

Rcpp ≥ 1.0
coda ≥ 0.19
graphics
stats
utils
grDevices

Suggests

testthat ≥ 2.3.2
mvtnorm
knitr

LinkingTo

Rcpp
RcppArmadillo ≥ 0.9.900

Reverse Imports

bayesianVARs
BGVAR
bsvars
factorstochvol
shrinkDSM
shrinkTVP

Reverse Suggests

bsreg
stochvolTMB
tensorBSS
tsBSS

Reverse LinkingTo

bayesianVARs
BGVAR
factorstochvol
shrinkDSM
shrinkTVP