d: Density Function

In mistr: Mixture and Composite Distributions

Density Function

Description

d is a generic function that evaluates the density function of a distribution object at given values.

Usage

## S3 method for class 'compdist'
d(O, x, log = FALSE)

## S3 method for class 'trans_compdist'
d(O, x, log = FALSE)

## S3 method for class 'mixdist'
d(O, x, log = FALSE)

## S3 method for class 'trans_mixdist'
d(O, x, log = FALSE)

d(O, x, log = FALSE)

## S3 method for class 'standist'
d(O, x, log = FALSE)

## S3 method for class 'trans_contdist'
d(O, x, log = FALSE)

## S3 method for class 'trans_discrdist'
d(O, x, log = FALSE)

Arguments

O	distribution object.
x	vector of quantiles.
log	logical; if TRUE, probabilities p are given as log(p), default: FALSE.

Details

Methods of d function evaluates any offered distribution from the package mistr. The function makes use of the d[sufix] functions as dnorm or dbeta and thus, if a new distribution is added, these functions must be reachable through the search path.

Value

Vector of computed results.

Examples

N <- normdist(1, 3)
d(N, c(NA, 1, 3, 5))

C <- cauchydist()
M <- mixdist(N, C, weights = c(0.5, 0.5))
d(M, c(NA, 1, 3, 5))

CC <- compdist(N, C, weights = c(0.5, 0.5), breakpoints = 1)
CCC <- 2*C+5
d(CCC, c(NA, 1, 3, 5))

mistr documentation built on March 7, 2023, 7:42 p.m.