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omega
This is the target function whose zero is searched to crete the inverse function of omega.
omega_root( x = 0.5, p0_v1 = 0.5, p0_v2 = 0.5, p00 = p0_v1 * p0_v2, correlation = NA )
the value p00-omega(x=x,p0_v1=p0_v1,p0_v2=p0_v2) or correlation-omega(x=x,p0_v1=p0_v1,p0_v2=p0_v2) (if correlation is not NA)
p00-omega(x=x,p0_v1=p0_v1,p0_v2=p0_v2)
correlation-omega(x=x,p0_v1=p0_v1,p0_v2=p0_v2)
correlation
NA
value of expected correlation between the corresponding Gaussian-distributed variables
probablity of no precipitatin occurrences for the v1 and v2 time series respectively.
probability of no precipitation occurrence in both v1 and v2 simultanously returned by omega
numerical value. DEfault is NA. Binary correlation retured by omega when the argumet correlation=TRUE
correlation=TRUE
Emanuele Cordano
normalCopula,pcopula,omega,omega_inv
normalCopula
pcopula
omega_inv
rho <- 0.4 p00 <- omega(x=rho,p0_v1=0.5,p0_v2=0.5) omega_root(x=rho,p0_v1=0.5,p0_v2=0.5,p00=p00)
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