CRAN/E | factorstochvol

factorstochvol

Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models

Installation

About

Markov chain Monte Carlo (MCMC) sampler for fully Bayesian estimation of latent factor stochastic volatility models with interweaving doi:10.1080/10618600.2017.1322091. Sparsity can be achieved through the usage of Normal-Gamma priors on the factor loading matrix doi:10.1016/j.jeconom.2018.11.007.

Citation factorstochvol citation info

Key Metrics

Version 1.1.0
R ≥ 3.0.2
Published 2023-11-24 148 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks factorstochvol results

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Maintainer

Maintainer

Gregor Kastner

gregor.kastner@aau.at

Authors

Gregor Kastner

aut / cre

Darjus Hosszejni

ctb

Luis Gruber

ctb

Material

NEWS
Reference manual
Package source

In Views

Finance
TimeSeries

Vignettes

Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

factorstochvol archive

Depends

R ≥ 3.0.2

Imports

GIGrvg ≥ 0.4
Rcpp ≥ 1.0.0
corrplot
methods
grDevices
graphics
stats
utils
stochvol ≥ 3.0.2

Suggests

LSD ≥ 4.0-0
coda ≥ 0.19-2
knitr
RColorBrewer
testthat ≥ 2.1.0
zoo

LinkingTo

Rcpp
RcppArmadillo ≥ 0.9.900
stochvol