svines: Stationary Vine Copula Models

Provides functionality to fit and simulate from stationary vine copula models for time series, see Nagler et al. (2022) <doi:10.1016/j.jeconom.2021.11.015>.

Version: 0.3.0
Depends: R (≥ 4.3.0), rvinecopulib (≥ 0.7.2.1.0)
Imports: Rcpp, assertthat, univariateML, wdm, fGarch
LinkingTo: RcppEigen, Rcpp, RcppThread, BH, wdm, rvinecopulib
Suggests: testthat, ggraph, covr, knitr, rmarkdown
Published: 2026-08-31
DOI: 10.32614/CRAN.package.svines
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail at tnagler.com>
BugReports: https://github.com/tnagler/svines/issues
License: GPL-3
URL: https://tnagler.github.io/svines/, https://github.com/tnagler/svines
NeedsCompilation: yes
SystemRequirements: C++17
Citation: svines citation info
Materials: README, NEWS
CRAN checks: svines results

Documentation:

Reference manual: svines.html , svines.pdf
Vignettes: Getting started with svines (source, R code)

Downloads:

Package source: svines_0.3.0.tar.gz
Windows binaries: r-devel: svines_0.3.0.zip, r-release: svines_0.2.7.zip, r-oldrel: svines_0.3.0.zip
macOS binaries: r-release (arm64): svines_0.3.0.tgz, r-oldrel (arm64): svines_0.3.0.tgz, r-release (x86_64): svines_0.3.0.tgz, r-oldrel (x86_64): svines_0.3.0.tgz
Old sources: svines archive

Linking:

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