rnb: Generate Random Samples from a Negative Binomial Distribution
In linelistBayes: Bayesian Analysis of Epidemic Data Using Line List and Case Count Approaches
rnb R Documentation
Generate Random Samples from a Negative Binomial Distribution
Description
This function generates random samples from a negative binomial distribution with the specified dispersion parameter (r) and success probability (p).
Usage
rnb(r, p)
Arguments
r
The number of failures before achieving a specified number of successes in a negative binomial experiment. It also serves as the dispersion parameter which controls the variance of the distribution.
p
The probability of success on each independent Bernoulli trial within the negative binomial experiment.
Value
A random value sampled from the negative binomial distribution with parameters r and p.
Examples
r <- 2
p <- 0.3
rnb(r, p)
linelistBayes documentation built on May 29, 2024, 3:50 a.m.
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| rnb | R Documentation |
Generate Random Samples from a Negative Binomial Distribution
Description
This function generates random samples from a negative binomial distribution with the specified dispersion parameter (r) and success probability (p).
Usage
rnb(r, p)
Arguments
r |
The number of failures before achieving a specified number of successes in a negative binomial experiment. It also serves as the dispersion parameter which controls the variance of the distribution. |
p |
The probability of success on each independent Bernoulli trial within the negative binomial experiment. |
Value
A random value sampled from the negative binomial distribution with parameters r and p.
Examples
r <- 2
p <- 0.3
rnb(r, p)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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