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

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

## Arguments

x |
vector of length \(K\) of integers in `0:size` . |

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)` . |

prob |
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. |

log |
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)

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