Package: svines 0.3.0

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>.

Authors:Thomas Nagler [aut, cre]

svines_0.3.0.tar.gz
svines_0.3.0.zip(r-4.7-x86_64)svines_0.3.0.zip(r-4.7-arm64)svines_0.3.0.zip(r-4.6-x86_64)svines_0.3.0.zip(r-4.6-arm64)svines_0.3.0.zip(r-4.5-x86_64)
svines_0.3.0.tgz(r-4.6-x86_64)svines_0.3.0.tgz(r-4.6-arm64)svines_0.3.0.tgz(r-4.5-x86_64)svines_0.3.0.tgz(r-4.5-arm64)
svines_0.3.0.tar.gz(r-4.7-arm64)svines_0.3.0.tar.gz(r-4.7-x86_64)svines_0.3.0.tar.gz(r-4.6-arm64)svines_0.3.0.tar.gz(r-4.6-x86_64)
svines_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
svines/json (API)

# Install 'svines' in R:

install.packages('svines', repos = c('https://tnagler.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tnagler/svines/issues

Pkgdown/docs site:https://tnagler.github.io

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

returns - Stock returns of 20 companies

On CRAN:

cpp

5.08 score 4 stars 9 scripts 459 downloads 15 exports 57 dependencies

Last updated from:eb57cd592f. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	297
linux-devel-x86_64	OK	246
source / vignettes	OK	386
linux-release-arm64	OK	277
linux-release-x86_64	OK	263
macos-release-arm64	OK	232
macos-release-x86_64	OK	484
macos-oldrel-arm64	OK	199
macos-oldrel-x86_64	OK	274
windows-devel-arm64	OK	308
windows-devel-x86_64	OK	292
windows-release-arm64	OK	305
windows-release-x86_64	OK	302
windows-oldrel-x86_64	OK	323
wasm-release	OK	189

Exports:svine svine_bootstrap_models svine_dist svine_hessian svine_loglik svine_pseudo_residuals svine_scores svine_sim svinecop svinecop_dist svinecop_hessian svinecop_loglik svinecop_pseudo_residuals svinecop_scores svinecop_sim

Dependencies:actuar assertthat bbmle bdsmatrix BH cli cvar expint extraDistr fastICA fBasics fGarch gbutils glue gss GUILDS intervals kde1d lattice lifecycle logitnorm magrittr MASS Matrix mvtnorm nakagami nloptr numDeriv pillar pkgconfig poilog poweRlaw pracma randtoolbox rbibutils Rcpp RcppArmadillo RcppEigen RcppParallel RcppThread Rdpack Rfast rlang rngWELL rvinecopulib sads spatial stabledist tibble timeDate timeSeries univariateML utf8 vctrs VGAM wdm zigg

Getting started with svines

Model layers | Fitting a continuous model | Simulation and diagnostics | Discrete variables | Copula-only models

Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-08-31
Started: 2026-08-31

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Stock returns of 20 companies	returns
Stationary vine distribution models	svine
Bootstrap S-vine models	svine_bootstrap_models
Custom S-vine distribution models	svine_dist
Expected Hessian of a parametric S-vine model	svine_hessian
Log-likelihood for S-vine models	svine_loglik
Pseudo-residuals of S-vine models	svine_pseudo_residuals
Score function of parametric S-vine models	svine_scores
Simulate from a S-vine model	svine_sim
Stationary vine copula models	svinecop
Custom S-vine models	svinecop_dist
Expected Hessian for S-vine copula models	svinecop_hessian
Log-likelihood for S-vine copula models	svinecop_loglik
Pseudo-residuals of S-vine copula models	svinecop_pseudo_residuals
Log-likelihood scores for S-vine copula models	svinecop_scores
Simulate from a S-vine copula model	svinecop_sim