Encoding: UTF-8
Package: factorstochvol
Type: Package
Title: Bayesian Estimation of (Sparse) Latent Factor Stochastic
        Volatility Models
Version: 1.1.2
Authors@R: c(
	person("Gregor", "Kastner", role = c("aut", "cre"), email = "gregor.kastner@aau.at", comment = c(ORCID = "0000-0002-8237-8271")),
	person("Darjus", "Hosszejni", role = c("ctb"), email = "darjus.hosszejni@icloud.com", comment = c(ORCID = "0000-0002-3803-691X")),
	person("Luis", "Gruber", role = c("ctb"), email = "luis.gruber@aau.at", comment = c(ORCID = "0000-0002-2399-738X")))
Description: 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>.
License: GPL (>= 2)
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
BuildResaveData: best
VignetteBuilder: knitr
BugReports: https://github.com/gregorkastner/factorstochvol/issues
RoxygenNote: 7.3.3
Repository: https://gregorkastner.r-universe.dev
Date/Publication: 2026-03-30 09:00:54 UTC
RemoteUrl: https://github.com/gregorkastner/factorstochvol
RemoteRef: HEAD
RemoteSha: 648b212e8e8ec942ff183589c2cd765007fe4472
NeedsCompilation: yes
Packaged: 2026-10-10 13:39:47 UTC; root
Author: Gregor Kastner [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8237-8271>),
  Darjus Hosszejni [ctb] (ORCID: <https://orcid.org/0000-0002-3803-691X>),
  Luis Gruber [ctb] (ORCID: <https://orcid.org/0000-0002-2399-738X>)
Maintainer: Gregor Kastner <gregor.kastner@aau.at>