The log likelihood of a negative binomial density with data, x, size, prob and mu parameters.

liknbinom(size, prob, mu, x, log = FALSE)

## Arguments

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. probability of success in each trial. 0 < prob <= 1. alternative parametrization via mean: see ‘Details’. vector of (non-negative integer) quantiles. logical; if TRUE, probabilities p are given as log(p).

## Value

A numeric scalar for the log likelihood of the negative binomial density given the data where size, prob, and mu can be held constant or if vector were given vector will be returned.

## Details

The log likelihood is the log of a function of parameters given the data.

## Examples

liknbinom(x = rnbinom(n = 2, size = 3, prob = .4),
size = 3, prob = .4, mu = NULL)#> [1] 0.003530776