Description Usage Arguments Value Note Author(s) See Also Examples
This is the target function whose zero is searched to crete
the inverse function of omega
.
1 2 | omega_root(x = 0.5, p0_v1 = 0.5, p0_v2 = 0.5, p00 = p0_v1 * p0_v2,
correlation = NA)
|
x |
value of expected correlation between the corresponding Gaussian-distributed variables |
p0_v1,p0_v2 |
probablity of no precipitatin occurences for the v1 and v2 time series respectively. |
p00 |
probability of no precipitation occurence in
both v1 and v2 simultanously returned by
|
correlation |
numerical value. DEfault is |
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
)
This function makes use of normal copula
Emanuele Cordano
normalCopula
,pcopula
,omega
,omega_inv
1 2 3 | 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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