dist_multinomial

<p>integer, say \(N\), specifying the total number
    of objects that are put into \(K\) boxes in the typical multinomial
    experiment. For <code>dmultinom</code>, it defaults to <code>sum(x)</code>.</p>

size

<p>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.</p>

prob

Vectorised distribution objects with tools for manipulating,
visualising, and using probability distributions. Designed to allow model
prediction outputs to return distributions rather than their parameters,
allowing users to directly interact with predictive distributions in a
data-oriented workflow. In addition to providing generic replacements for
p/d/q/r functions, other useful statistics can be computed including means,
variances, intervals, and highest density regions.

Mitchell O'Hara-Wild

dist_multinomial: The Multinomial distribution

Description

Usage

Arguments

See Also

Examples