BiCop
and checks for family/parameter consistency.BiCop(family, par, par2 = 0)
0
= independence copula
1
= Gaussian copula
2
= Student t copula (t-copula)
3
= Clayton copula
4
= Gumbel copula
5
= Frankpar2 = 0
). par2
should be an positive integer for the Students's t copula family = 2
.BiCop
, i.e., a list containingBiCopEst
and BiCopSelect
functions.BiCopPDF
, BiCopHfunc
, BiCopSim
, BiCopEst
, BiCopSelect
, plot.BiCop
## create BiCop object for bivariate t-copula
obj <- BiCop(family = 2, par = 0.4, par2 = 6)
## a selection of function that can be used with BiCop objects
simdata <- BiCopSim(300, obj) # simulate data
BiCopPDF(0.5, 0.5, obj) # evaluate density in (0.5,0.5)
plot(obj) # normal contour plot
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