dist_pdf-methods: The probability density function (pdf)

In poweRlaw: Analysis of Heavy Tailed Distributions

The probability density function (pdf)

Description

This is generic function for distribution objects. This function calculates the probability density function (pdf) for the current parameters and xmin value.

Usage

dist_pdf(m, q = NULL, log = FALSE)

## S4 method for signature 'conlnorm'
dist_pdf(m, q = NULL, log = FALSE)

## S4 method for signature 'conexp'
dist_pdf(m, q = NULL, log = FALSE)

## S4 method for signature 'conpl'
dist_pdf(m, q = NULL, log = FALSE)

## S4 method for signature 'conweibull'
dist_pdf(m, q = NULL, log = FALSE)

## S4 method for signature 'disexp'
dist_pdf(m, q = NULL, log = FALSE)

## S4 method for signature 'dislnorm'
dist_pdf(m, q = NULL, log = FALSE)

## S4 method for signature 'displ'
dist_pdf(m, q = NULL, log = FALSE)

## S4 method for signature 'dispois'
dist_pdf(m, q = NULL, log = FALSE)

Arguments

m	a distribution object.
q	a vector values where the function will be evaluated. If q is NULL (default), then the data values will be used.
log	default FALSE. If TRUE, probabilities are given as log(p).

Value

The probability density (or mass) function

Note

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

See Also

dist_cdf(), dist_ll() and dist_rand()

Examples

##########################################
#Create distribution object              #
##########################################
m = displ$new()
m$setXmin(7); m$setPars(2)

##########################################
#Calculate the pdf at particular values  #
##########################################
dist_pdf(m, 7:10)

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