pdf.Triangular: Evaluate the probability density function of a Triangular...

In benRenard/disTRIMbution: Estimation of Trimmed (Either Truncated or Rectified) Distributions

Evaluate the probability density function of a Triangular distribution

Description

Evaluate the probability density function of a Triangular distribution

Usage

## S3 method for class 'Triangular'
pdf(d, x, ...)

## S3 method for class 'Triangular'
log_pdf(d, x, ...)

Arguments

d	A 'Triangular' object created by a call to [Triangular()].
x	A vector of elements whose pdf you would like to determine given the distribution 'd'.
...	Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Value

A vector of pdf values, one for each element of 'x'.

Examples

set.seed(27)

X <- Triangular(a=0,b=4,c=1)
X

random(X, 10)

pdf(X, 0.7)
log_pdf(X, 0.7)

cdf(X, 0.7)
quantile(X, 0.7)

cdf(X, quantile(X, 0.7))
quantile(X, cdf(X, 0.7))

benRenard/disTRIMbution documentation built on July 1, 2023, 4:24 a.m.