likbgev {bgev}

Log likelihood function for the bimodal GEV distribution.

Description

Uses the density function to evaluate the likelihood. This is useful for the 'bgev.mle' function.

Usage

likbgev(y, theta = c(1, 1, 0.3, 2))

Arguments

y

a unidimensional vector containing the points to compute the log likelihood

theta

bimodal GEV parameters as an ordered pair theta = (mu,sigma,xi,delta)

Value

a unidimensional vector containing the computed log likelihood for y.

Author(s)

Cira Otiniano Author [aut], Yasmin Lirio Author [aut], Thiago Sousa Developer [cre]

References

Otiniano, Cira EG, et al. (2023). A bimodal model for extremes data. Environmental and Ecological Statistics, 1-28. http://dx.doi.org/10.1007/s10651-023-00566-7

Examples

# get random points from bimodal GEV
y = rbgev(100, mu = 1, sigma = 1, xi = 0.3, delta = 2)

# compute log-likelihood
likbgev (y, theta = c(1, 1, 0.3, 2))