Man pages for rvinecopulib
High Performance Algorithms for Vine Copula Modeling

as_rvine_structureCoerce various kind of objects to R-vine structures and...
bicopFit and select bivariate copula models
bicop_distBivariate copula models
bicop_methodsBivariate copula distributions
emp_cdfCorrected Empirical CDF
gettersExtracts components of 'bicop_dist' and 'vinecop_dist'...
mBICVModified vine copula Bayesian information criterion (mBICv)
pairs_copula_dataExploratory pairs plot for copula data
par_to_ktauConversion between Kendall's tau and parameters
plot.bicop_distPlotting tools for 'bicop_dist' and 'bicop' objects
plot.rvine_structurePlotting R-vine structures
plot.vinecop_distPlotting 'vinecop_dist' and 'vinecop' objects.
predict_bicopPredictions and fitted values for a bivariate copula model
predict_vinePredictions and fitted values for a vine copula model
predict_vinecopPredictions and fitted values for a vine copula model
pseudo_obsPseudo-Observations
rosenblatt(Inverse) Rosenblatt transform
rvinecopulibHigh Performance Algorithms for Vine Copula Modeling
rvine_structureR-vine structure
rvine_structure_simSimulate R-vine structures
truncate_modelTruncate a vine copula model
vineVine copula models
vinecopFitting vine copula models
vinecop_distVine copula models
vinecop_methodsVine copula distributions
vine_methodsVine based distributions
rvinecopulib documentation built on March 7, 2023, 6:20 p.m.