Other packages > Find by keyword >

CDVineCopulaConditional  

Sampling from Conditional C- and D-Vine Copulas
View on CRAN: Click here


Download and install CDVineCopulaConditional package within the R console
Install from CRAN:
install.packages("CDVineCopulaConditional")

Install from Github:
library("remotes")
install_github("cran/CDVineCopulaConditional")

Install by package version:
library("remotes")
install_version("CDVineCopulaConditional", "0.1.1")



Attach the package and use:
library("CDVineCopulaConditional")
Maintained by
Emanuele Bevacqua
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-03-02
Latest Update: 2017-07-28
Description:
Provides tools for sampling from a conditional copula density decomposed via Pair-Copula Constructions as C- or D- vine. Here, the vines which can be used for such a sampling are those which sample as first the conditioning variables (when following the sampling algorithms shown in Aas et al. (2009) ). The used sampling algorithm is presented and discussed in Bevacqua et al. (2017) , and it is a modified version of that from Aas et al. (2009) . A function is available to select the best vine (based on information criteria) among those which allow for such a conditional sampling. The package includes a function to compare scatterplot matrices and pair-dependencies of two multivariate datasets.
How to cite:
Emanuele Bevacqua (2017). CDVineCopulaConditional: Sampling from Conditional C- and D-Vine Copulas. R package version 0.1.1, https://cran.r-project.org/web/packages/CDVineCopulaConditional. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2017-03-02 17:56), 0.1.1 (2017-07-28 19:20)
Other packages that cited CDVineCopulaConditional R package
View CDVineCopulaConditional citation profile
Other R packages that CDVineCopulaConditional depends, imports, suggests or enhances
Complete documentation for CDVineCopulaConditional
Functions, R codes and Examples using the CDVineCopulaConditional R package
Some associated functions: CDVineCondFit . CDVineCondListMatrices . CDVineCondRank . CDVineCondSim . dataset . overplot . 
Some associated R codes: Full CDVineCopulaConditional package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA