eMult: Expected Value of the Occupancy Distribution

In occugene: Functions for Multinomial Occupancy Distribution

Description

Returns the expected value of the occupancy distribution based on a multinomial distribution.

Usage

eMult(n, p, iter=NULL, seed=NULL, experimental=NULL)

Arguments

n	number of attempts in the multinomial distribution
p	probabilities for landing in a specific bin
iter	number of iterations used in the Monte-Carlo approximation
seed	seed for the random number generator
experimental	access to other functions of multinomials

Details

This functions computes the expected value of the occupancy distribution for a multinomial. In other words, the expected number of bins with at least one ball. The experimental argument "oneBall" computes expected number of bins with exactly one ball and the experimental argument "nextTo" computes the expected number of bins with one ball next to a bin with zero balls. Consider any functionality through the experimental argument untested.

Value

Returns a numeric

Author(s)

Oliver Will [e-mail]

References

See the book chapter O. Will (**) in ** for specific details about this package or Johnson, N. L. and Kotz, S. (1977) Urn Models and Their Application: An Approach to Modern Discrete Probability Theory. John Wiley & Sons, New York, NY.

Examples

n <- 20
p <- c(seq(10,1,-1),47)/100
p <- p/sum(p)
eMult(n,p)
eMult(n,p,iter=1000,seed=4)

occugene documentation built on Nov. 8, 2020, 8:10 p.m.