# d: Density Function In mistr: Mixture and Composite Distributions

## Description

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

## Usage

 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 ## 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

 1 2 3 4 5 6 7 8 9 10 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.