dist_ll-methods: The log-likelihood function

In poweRlaw: Analysis of Heavy Tailed Distributions

The log-likelihood function

Description

This is generic function for distribution objects. This function calculates the log-likelihood for the current parameters and xmin value.

Usage

dist_ll(m)

## S4 method for signature 'conlnorm'
dist_ll(m)

## S4 method for signature 'conexp'
dist_ll(m)

## S4 method for signature 'conpl'
dist_ll(m)

## S4 method for signature 'conweibull'
dist_ll(m)

## S4 method for signature 'disexp'
dist_ll(m)

## S4 method for signature 'dislnorm'
dist_ll(m)

## S4 method for signature 'displ'
dist_ll(m)

## S4 method for signature 'dispois'
dist_ll(m)

Arguments

m	a distribution object.

Value

The log-likelihood

Note

This method does not alter the internal state of the distribution objects.

See Also

dist_cdf(), dist_pdf() and dist_rand()

Examples

##########################################
#Load data and create distribution object#
##########################################
data(moby_sample)
m = displ$new(moby_sample)
m$setXmin(7); m$setPars(2)

##########################################
#Calculate the log-likelihood            #
##########################################
dist_ll(m)

poweRlaw documentation built on May 29, 2024, 10:01 a.m.