| JOcopB5 | R Documentation | 
The Joe/B5 copula (Joe, 2014, p. 170) is
\mathbf{C}_{\Theta}(u,v) = \mathbf{B5}(u,v) = 1 - \bigl((1-u)^\Theta + (1-v)^\Theta - (1-u)^\Theta (1-v)^\Theta\bigr)^{1/\Theta}\mbox{,}
where \Theta \in [1,\infty).
The copula as \Theta \rightarrow \infty limits to the comonotonicity coupla (\mathbf{M}(u,v) and M), as \Theta \rightarrow 1^{+} limits to independence copula (\mathbf{\Pi}(u,v); P). Finally, the parameter \Theta is readily computed from a Kendall Tau (tauCOP) by
\tau_\mathbf{C} = 1 + \frac{2}{2-\Theta}\bigl(\psi(2) - \psi(1 + 2/\Theta)\bigr)\mbox{,}
where \psi is the digamma() function and as \Theta \rightarrow 2 then 
\tau_\mathbf{C}(\Theta \rightarrow 2) = 1 - \psi'(2)
 where \psi' is the trigamma() function.
JOcopB5(u, v, para=NULL, tau=NULL, ...)
u | 
 Nonexceedance probability   | 
v | 
 Nonexceedance probability   | 
para | 
 A vector (single element) of parameters—the   | 
tau | 
 Optional Kendall Tau; and  | 
... | 
 Additional arguments to pass.  | 
Value(s) for the copula are returned. Otherwise if tau is given, then the \Theta is computed and a list having
para | 
 The parameter   | 
tau | 
 Kendall Tau.  | 
and if para=NULL and tau=NULL, then the values within u and v are used to compute Kendall Tau and then compute the parameter, and these are returned in the aforementioned list.
W.H. Asquith
Joe, H., 2014, Dependence modeling with copulas: Boca Raton, CRC Press, 462 p.
M, P
# Upper tail dependency of Theta = pi --> 2 - 2^(1/pi) = 0.753131 (Joe, 2014, p. 171).
taildepCOP(cop=JOcopB5, para=pi)$lambdaU # 0.75313
# Blomqvist Beta of Theta = pi (Joe, 2014, p. 171).
blomCOP(cop=JOcopB5, para=pi)        # 0.5521328
3 - 4*(2*(1/2)^pi - (1/4)^pi)^(1/pi) # 0.5521328
## Not run: 
  # A test near the limiting Theta for trigamma()
  UV   <- simCOP(cop=JOcopB5, para=2, n=10000)
  para <- JOcopB5(UV[,1], UV[,2])$para
  message("Tau difference ", round(2-para, digits=2), " is small.") #
## End(Not run)
## Not run: 
   # embeddment of parameters for permutation asymmetry and rotation
   para <- list(cop=JOcopB5, para=30, reflect=3, breve=0.5)
   UV <- simCOP(cop=COP, para=list(cop=breveCOP, para=para), n=1000) #
## End(Not run)
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