# p: Distribution Function In mistr: Mixture and Composite Distributions

## Description

`p` is a generic function that evaluates the distribution function of a distribution object at given values.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13``` ```## S3 method for class 'compdist' p(O, q, lower.tail = TRUE, log.p = FALSE) ## S3 method for class 'mixdist' p(O, q, lower.tail = TRUE, log.p = FALSE) p(O, q, lower.tail = TRUE, log.p = FALSE) ## S3 method for class 'standist' p(O, q, lower.tail = TRUE, log.p = FALSE) ## S3 method for class 'trans_univdist' p(O, q, lower.tail = TRUE, log.p = FALSE) ```

## Arguments

 `O` distribution object. `q` vector of quantiles. `lower.tail` logical; if TRUE, probabilities are P[X ≤ x] otherwise, P[X > x], default: TRUE. `log.p` logical; if TRUE, probabilities p are given as log(p), default: FALSE.

## Details

Methods of `p` function evaluates any offered distribution from the package `mistr`. The function makes use of the p[sufix] functions as `pnorm` or `pbeta` 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) p(N, c(NA,1,3,5)) C <- cauchydist() M <- mixdist(N, C, weights = c(0.5, 0.5)) p(M, c(NA,1,3,5)) CC <- compdist(N, C, weights = c(0.5, 0.5), breakpoints = 1) CCC <- 2*C+5 p(CCC, c(NA,1,3,5)) ```

mistr documentation built on Dec. 10, 2018, 5:05 p.m.