| dnb {linelistBayes} | R Documentation |
Calculate Log-Probability Density for Negative Binomial Distribution
Description
This function computes the log-probability density function of the negative binomial distribution, given the number of successes, the dispersion parameter, and the mean of the distribution. This is useful for probabilistic models where negative binomial assumptions are applicable, such as certain types of count data.
Usage
dnb(x, r, m)
Arguments
x |
A numeric value representing the number of successes, which should be a non-negative integer. |
r |
A numeric value representing the dispersion parameter of the negative binomial distribution. A higher value indicates a distribution more tightly concentrated around the mean. |
m |
A numeric value representing the mean of the distribution. |
Value
A numeric value representing the log-probability density function value of observing 'x' successes given the mean 'm' and dispersion 'r'. This return value is given on the log scale to facilitate calculations that involve very small probabilities.
Examples
dnb(5, 2, 10);