Maximum likelihood estimation of the coefficients of the Fr<U+00E9>chet distribution
frechet.mle(
x,
weights = NULL,
start = c(shape = 1.5, scale = 0.5),
lower = c(1e-10, 1e-10),
upper = c(Inf, Inf)
)
data vector
numeric vector for weighted MLE, should have the same length as data vector x
named vector with starting values, default to c(shape=1.5,scale=0.5)
Lower and upper bounds to the estimated shape parameter, defaults to 1e-10 and Inf respectively
Returns a named list containing a
Named vector of coefficients
logical indicator of convergence
Length of the fitted data vector
Nr. of coefficients
x = rfrechet(1e3)
## Pareto fit with xmin set to the minium of the sample frechet.mle(x=x)