RMRAINGEN (version 1.0)

omega: This function finds the bivariate joint probability or the binary correlation from the corresponding Gaussian correlation x

Description

This function finds the bivariate joint probability or the binary correlation from the corresponding Gaussian correlation x

Usage

omega(x = 0.5, p0_v1 = 0.5, p0_v2 = NA, correlation = FALSE)

Arguments

x

value of expected correlation between the corresponding Gaussian-distributed variables

p0_v1,p0_v2

probability of no precipitation occurences for the v1 and v2 time series respectively. See Notes.

correlation

logical numeric value. Default is FALSE. If TRUE the function returns the binary correlation like eq. 6 of Mhanna, et al.,2011.

Value

probability of no precipitation occurence in both v1 and v2 simultaneously. It is a matrix if x is a matrix.

See Also

normalCopula,pcopula

Examples

rho <- 0.4
p00 <- omega(x=rho,p0_v1=0.5,p0_v2=0.5)
cor00 <- omega(x=rho,p0_v1=0.5,p0_v2=0.5,correlation=TRUE)