rnbinom_new: Random numbers for the negative binomial distribution.

In HelpersMG: Tools for Environmental Analyses, Ecotoxicology and Various R Functions

Random numbers for the negative binomial distribution.

Description

See rnbinom.

Usage

rnbinom_new(n, size = NULL, prob = NULL, mu = NULL, sd = NULL, var = NULL)

Arguments

n	number of observations.
size	target for number of successful trials, or dispersion parameter (the shape parameter of the gamma mixing distribution). Must be strictly positive, need not be integer.
prob	probability of success in each trial. 0 < prob <= 1.
mu	alternative parametrization via mean.
sd	alternative parametrization via standard deviation.
var	alternative parametrization via variance.

Details

rnbinom_new returns random numbers for the negative binomial distribution

Value

Random numbers for the negative binomial distribution

Author(s)

Marc Girondot [e-mail]

See Also

Other Distributions: cutter(), dSnbinom(), dbeta_new(), dcutter(), dggamma(), logLik.cutter(), plot.cutter(), print.cutter(), r2norm(), rcutter(), rmnorm()

Examples

## Not run: 
library("HelpersMG")
set.seed(1)
x <- rnbinom_new(n=1000, prob=6.25/(5+6.25), size=6.25)
mean(x)
sd(x)
set.seed(1)
x <- rnbinom_new(n=1000, mu=5, sd=3)
mean(x)
sd(x)
set.seed(1)
x <- rnbinom_new(n=1000, mu=5, var=3^2)
mean(x)
sd(x)
set.seed(1)
x <- rnbinom_new(n=1000, mu=5, size=6.25)
mean(x)
sd(x)
set.seed(1)
x <- rnbinom_new(n=1000, size=6.25, var=3^2)
mean(x)
sd(x)
set.seed(1)
x <- rnbinom_new(n=1000, prob=6.25/(5+6.25), var=3^2)
mean(x)
sd(x)
# Example of wrong parametrization
set.seed(1)
x <- rnbinom_new(n=1000, sd=3, var=3^2)
set.seed(1)
x <- rnbinom_new(n=1000, mu=10, var=3^2)

## End(Not run)

HelpersMG documentation built on Oct. 5, 2023, 5:08 p.m.