The log likelihood of a geometric density with data, x, prob parameter.

likgeom(prob, x, log = FALSE)

## Arguments

prob probability of success in each trial. 0 < prob <= 1. vector of quantiles representing the number of failures in a sequence of Bernoulli trials before success occurs. logical; if TRUE, probabilities p are given as log(p).

## Value

A numeric scalar for the log likelihood of the geometric density given the data where prob 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

likgeom(x = rgeom(n = 2, prob = .4),
prob = .4)#> [1] 0.03456