random.HurdleNegativeBinomial: Draw a random sample from a hurdle negative binomial...

In distributions3: Probability Distributions as S3 Objects

Draw a random sample from a hurdle negative binomial distribution

Description

Draw a random sample from a hurdle negative binomial distribution

Usage

## S3 method for class 'HurdleNegativeBinomial'
random(x, n = 1L, drop = TRUE, ...)

Arguments

x	A HurdleNegativeBinomial object created by a call to HurdleNegativeBinomial().
n	The number of samples to draw. Defaults to 1L.
drop	logical. Should the result be simplified to a vector if possible?
...	Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Value

In case of a single distribution object or n = 1, either a numeric vector of length n (if drop = TRUE, default) or a matrix with n columns (if drop = FALSE).

Examples

## set up a hurdle negative binomial distribution
X <- HurdleNegativeBinomial(mu = 2.5, theta = 1, pi = 0.75)
X

## standard functions
pdf(X, 0:8)
cdf(X, 0:8)
quantile(X, seq(0, 1, by = 0.25))

## cdf() and quantile() are inverses for each other
quantile(X, cdf(X, 3))

## density visualization
plot(0:8, pdf(X, 0:8), type = "h", lwd = 2)

## corresponding sample with histogram of empirical frequencies
set.seed(0)
x <- random(X, 500)
hist(x, breaks = -1:max(x) + 0.5)

distributions3 documentation built on Sept. 30, 2024, 9:37 a.m.