Density, distribution function, quantile function and random generation for conditional copula \(C(u|V=v)\) of \(U\) given \(V=v\) related to parametric bivariate copula \(C(u,v)=P(U\le u, V\le v)\).
dcopula.cond(u, v, copula, ...)pcopula.cond(u, v, copula, ...)
qcopula.cond(p, v, copula, ...)
rcopula.cond(n, v, copula, ...)
a vector of copula density values evaluated at u gvien V=v
or a vector of n generated u values from conditional copula \(C(u|V=v)\).
vector of \(U\) values at which the copula density is evaluated
a given value of \(V\) under which the conditional copula and its density is evaluated
the name of a copula density to be called (see Details)
the parameter(s) of copula
a vector of probabilities
number of observations to be generated from conditional copula \(C(u|V=v)\).
the names of available copulas are 'amh' (Ali-Mikhai-Haq), 'bern' (Bernstein polynomial model),
'clayton'(Clayton), 'exponential' (Exponential),
'fgm'(Farlie–Gumbel–Morgenstern), 'frank' (Frank),
'gauss' (Gaussian), 'gumbel' (Gumbel), 'indep' (Independence),
'joe' (Joe), 'nakagami' (Nakagami-m), 'plackett' (Plackett),
't' (Student's t).