Multivariate Dependence Modeling with Vines

---

Documentation for package ‘vines’ version 1.1.5

• DESCRIPTION file.
• Package NEWS.

Help Pages

CVine	Create Vine Objects
CVine-class	Classes for Regular Vines
dimnames-method	Base Vine Class
dimnames<--method	Base Vine Class
DVine	Create Vine Objects
dvine	Vine Distribution Functions
DVine-class	Classes for Regular Vines
dvine-method	Vine Distribution Functions
dvine-methods	Vine Distribution Functions
h	Methods for the h-functions
h-method	Methods for the h-functions
h-methods	Methods for the h-functions
hinverse	Methods for the Inverse of the h-functions
hinverse-method	Methods for the Inverse of the h-functions
hinverse-methods	Methods for the Inverse of the h-functions
pvine	Vine Distribution Functions
pvine-method	Vine Distribution Functions
pvine-methods	Vine Distribution Functions
rvine	Vine Distribution Functions
RVine-class	Classes for Regular Vines
rvine-method	Vine Distribution Functions
rvine-methods	Vine Distribution Functions
show-method	Classes for Regular Vines
show-method	Base Vine Class
show-method	Class for the Results of Vine Inference
show-method	Class for the Results of Vine Inference by Maximum Likelihood
show-method	Class for the Results of Vine Goodness-of-fit Tests
Vine	Create Vine Objects
Vine-class	Base Vine Class
vineFit	Vine Inference
vineFit-class	Class for the Results of Vine Inference
vineFitML-class	Class for the Results of Vine Inference by Maximum Likelihood
vineGoF	Vine Goodness-of-fit Tests
vineGoF-class	Class for the Results of Vine Goodness-of-fit Tests
vineLogLik	Vine Log-likelihood Evaluation
vineOrder	Select an Order of the Variables
vineParameters	Parameters of a Vine
vineParameters<-	Parameters of a Vine
vinePIT	Vine Probability Integral Transform Methods
vinePIT-method	Vine Probability Integral Transform Methods
vinePIT-methods	Vine Probability Integral Transform Methods