All functions
|
AIC(<gamBiCop>)
|
Akaike's An Information Criterion for a gamBiCop Object |
BIC(<gamBiCop>)
|
Schwarz's Bayesian Information Criterion for a gamBiCop Object |
BiCopEta2Par()
|
Copula Parameter of a Bivariate Copula for a Given Value of the Calibration
Function |
BiCopPar2Eta()
|
Calibration Function of a Bivariate Copula for a Given Parameter's Value |
EDF()
|
Equivalent Degrees of Freedom for an Object of the Class gamBiCop |
RVM2GVC()
|
Transform an Object of the Class R-Vine into an Object of the Class gamVine |
condBiCopSim()
|
Simulation from a Conditional Bivariate Copula |
dim(<gamVine>)
|
Dimension of an Object of the Class gamVine |
formula(<gamBiCop>)
|
Model Formula of the gamBiCop Object |
gamBiCop-class
|
The gamBiCop Class |
gamBiCop()
|
Construction of a gamBiCop Class Object |
gamBiCopCDF()
|
Conditional distribution function of a Generalized Additive model for the
copula parameter or Kendall's tau |
gamBiCopFit()
|
Maximum penalized likelihood estimation of a Generalized Additive model
for the copula parameter or Kendall's tau. |
gamBiCopPDF()
|
Conditional density function of a Generalized Additive model for the copula
parameter or Kendall's tau |
gamBiCopPredict()
|
Predict method of a Generalized Additive model for the copula parameter
or Kendall's tau |
gamBiCopSelect()
|
Selection and Maximum penalized likelihood estimation of a Generalized
Additive model (gam) for the copula parameter or Kendall's tau. |
gamBiCopSimulate()
|
Simulate from gamBiCop-class object |
gamCopula-package
|
Generalized Additive Models for Bivariate Conditional Dependence Structures and
Vine Copulas |
gamVine-class
|
The gamVine Class |
gamVine()
|
Construction of a gamVine Class Object |
gamVineCopSelect()
|
Sequential pair-copula selection and maximum penalized likelihood estimation
of a GAM-Vine model. |
gamVineFamily()
|
Family Matrix of an Object of the Class gamVine |
gamVineNormalize()
|
Normalize an Object of the Class gamVine |
gamVinePDF()
|
Conditional density function of a gamVine |
gamVineSeqFit()
|
Sequential maximum penalized likelihood estimation of a GAM-Vine model. |
gamVineSimulate()
|
Simulation from a gamVine-class object |
gamVineStructureSelect()
|
Structure selection and estimation of a GAM-Vine model. |
logLik(<gamBiCop>)
|
Extract the Log-likelihood from a gamBiCop Object |
nobs(<gamBiCop>)
|
Extract the Number of Observations from gamBiCop Object |
plot(<gamBiCop>,<ANY>)
|
Plot a gamBiCop Object |
plot(<gamVine>,<ANY>)
|
Plot an Object of the Class gamVine |
summary(<gamBiCop>)
|
Summary for a gamBiCop Object |
summary(<gamVine>)
|
Summary for an Object of the Class gamVine |