d: Density Function

Description Usage Arguments Details Value Examples

View source: R/standist.R

Description

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

Usage

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## 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

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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 Dec. 10, 2018, 5:05 p.m.