liknbinom: Negative Binomial Log Likelihood Function

In BenBarnard/likelihoodExplore: Likelihood Exploration

Description

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

Usage

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

Details

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

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.

Examples

liknbinom(x = rnbinom(n = 2, size = 3, prob = .4),
        size = 3, prob = .4, mu = NULL)

BenBarnard/likelihoodExplore documentation built on Dec. 4, 2019, 4:38 p.m.