The log likelihood of a multinomial density with data, x, size and prob parameters.

likmultinom(size = NULL, prob, x, log = FALSE)

## Arguments

size integer, say $$N$$, specifying the total number of objects that are put into $$K$$ boxes in the typical multinomial experiment. For dmultinom, it defaults to sum(x). numeric non-negative vector of length $$K$$, specifying the probability for the $$K$$ classes; is internally normalized to sum 1. Infinite and missing values are not allowed. vector of length $$K$$ of integers in 0:size. logical; if TRUE, log probabilities are computed.

## Value

A numeric scalar for the log likelihood of the multinomial density given the data where size and 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

likmultinom(x = rmultinom(n = 2, size = 3, prob = .4),
size = 3, prob = .4)#> [1] 1