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vines: Multivariate Dependence Modeling with Vines

Implementation of the vine graphical model for building high-dimensional probability distributions as a factorization of bivariate copulas and marginal density functions. This package provides S4 classes for vines (C-vines and D-vines) and methods for inference, goodness-of-fit tests, density/distribution function evaluation, and simulation.

Version: 1.1.5
Depends: methods, copula
Imports: ADGofTest, cubature, TSP
Suggests: testthat
Published: 2016-07-28
DOI: 10.32614/CRAN.package.vines
Author: Yasser Gonzalez-Fernandez [aut, cre], Marta Soto [aut], Joris Meys [ctb]
Maintainer: Yasser Gonzalez-Fernandez <ygonzalezfernandez at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/yasserglez/vines
NeedsCompilation: yes
Citation: vines citation info
Materials: NEWS
In views: Distributions
CRAN checks: vines results [issues need fixing before 2025-01-10]

Documentation:

Reference manual: vines.pdf

Downloads:

Package source: vines_1.1.5.tar.gz
Windows binaries: r-devel: vines_1.1.5.zip, r-release: vines_1.1.5.zip, r-oldrel: vines_1.1.5.zip
macOS binaries: r-release (arm64): vines_1.1.5.tgz, r-oldrel (arm64): vines_1.1.5.tgz, r-release (x86_64): vines_1.1.5.tgz, r-oldrel (x86_64): vines_1.1.5.tgz
Old sources: vines archive

Reverse dependencies:

Reverse imports: copulaedas

Linking:

Please use the canonical form https://CRAN.R-project.org/package=vines to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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