R: Estimation and Goodness-of-Fit of Copula-Based Models with Arbitrary Distributions

# Estimation and Goodness-of-Fit of Copula-Based Models with Arbitrary Distributions

## Documentation for package ‘CopulaInference’ version 0.5.0

- DESCRIPTION file

## Help Pages

AuxFun | Auxiliary functions
AuxFunC | Auxiliary functions using C
BiEmpCdf | Empirical bivariate cdf
CdfInv | Quantile function
dncs | Density of non-central squared copula
dplac | Density of Plackett copula
EmpCdf | Empirical univariate cdf
EstBiCop | Parameter estimation for bivariate copula-based models with arbitrary distributions
EstDep | Kendall's tau and Spearman's rho
est_options | Options for the estimation of the parameters of bivariate copula-based models
Finv | Quantile function of margins
fnumber | Family number corresponding to VineCopula package
GofBiCop | Goodness-of-fit for bivariate copula-based models with arbitrary distributions
hncs | Conditional distribution of non-central squared copula
hplac | Conditional distribution of Plackett copula
identifiability | Identifiability of two-parameter copula families
pncs | Cdf for non-central squared copula
pplac | Cdf for Plackett copula
preparedata | Computes unique values, cdf and pdf
rhoplackett | Spearman's rho for Plackett copula
rncs | Simulation of non-central squared copula
rplac | Generates observations from the Plackett copula
simgumbel | Simulated data
statcvm | Goodness-of-fit statistics
taucop | Kendall's tau for a copula family
tauplackett | Kendall's tau for Plackettfamily