Package: svines 0.2.7

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_0.2.7.tar.gz
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svines_0.2.7.tgz(r-4.6-x86_64)svines_0.2.7.tgz(r-4.6-arm64)svines_0.2.7.tgz(r-4.5-x86_64)svines_0.2.7.tgz(r-4.5-arm64)
svines_0.2.7.tar.gz(r-4.7-arm64)svines_0.2.7.tar.gz(r-4.7-x86_64)svines_0.2.7.tar.gz(r-4.6-arm64)svines_0.2.7.tar.gz(r-4.6-x86_64)
svines_0.2.7.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

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • returns - Stock returns of 20 companies

On CRAN:

Conda:

cpp

3.60 score 4 stars 6 scripts 345 downloads 15 exports 57 dependencies

Last updated from:cabe15c072. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK223
linux-devel-x86_64OK224
source / vignettesOK256
linux-release-arm64OK262
linux-release-x86_64OK236
macos-release-arm64OK166
macos-release-x86_64OK340
macos-oldrel-arm64OK252
macos-oldrel-x86_64OK253
windows-develOK236
windows-releaseOK230
windows-oldrelOK239
wasm-releaseOK210

Exports:svinesvine_bootstrap_modelssvine_distsvine_hessiansvine_logliksvine_pseudo_residualssvine_scoressvine_simsvinecopsvinecop_distsvinecop_hessiansvinecop_logliksvinecop_pseudo_residualssvinecop_scoressvinecop_sim

Dependencies:actuarassertthatbbmlebdsmatrixBHclicvarexpintextraDistrfastICAfBasicsfGarchgbutilsgluegssGUILDSintervalskde1dlatticelifecyclelogitnormmagrittrMASSMatrixmvtnormnakagaminloptrnumDerivpillarpkgconfigpoilogpoweRlawpracmarandtoolboxrbibutilsRcppRcppArmadilloRcppEigenRcppParallelRcppThreadRdpackRfastrlangrngWELLrvinecopulibsadsspatialstabledisttibbletimeDatetimeSeriesunivariateMLutf8vctrsVGAMwdmzigg