likelihood: likelihood for the Davies distribution

In Davies: The Davies Quantile Function

likelihood for the Davies distribution

Description

Likelihood of observing data, on the hypothesis of their coming from a Davies distribution of parameters params.

Function neg.log.likelihood() gives minus the loglikelihood

Usage

likelihood(params, data)

Arguments

params	Parameters of the Davies distribution
data	dataset for which the likelihood is computed

Author(s)

Robin K. S. Hankin

See Also

Davies

Examples

p1 <- c(10, 0.1, 0.1)
p2 <- c(10, 0.4, 0.1)
d <- rdavies(100,p1)
likelihood(p1,d)
likelihood(p2,d)                 #should be smaller.
neg.log.likelihood(p1,rstupid(100)) #should be large negative.

Davies documentation built on March 18, 2022, 5:52 p.m.