# 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.