rBetaBinom: Random Number Generation under the Beta-Binomial Probability...

In betafunctions: Functions for Working with Two- And Four-Parameter Beta Probability Distributions and Psychometric Analysis of Classifications

Random Number Generation under the Beta-Binomial Probability Mass Distribution.

Description

Random Number Generation under the Beta-Binomial Probability Mass Distribution.

Usage

rBetaBinom(n, N, l, u, alpha, beta)

Arguments

n	Number of draws.
N	Number of trials.
l	The first (lower) location parameter.
u	The second (upper) location parameter.
alpha	The alpha (first) shape parameter.
beta	The beta (second) shape parameter.

Value

A vector with length n of random values drawn from the Beta-Binomial Distribution.

Examples

# To draw a sample of 50 values from a Beta-Binomial distribution with
# number of trials = 100, and with success-probabilities drawn from a
# Four-Parameter Beta distribution with location parameters l = 0.25 and
# u = 0.95, and shape-parameters alpha = 5 and beta = 3:
rBetaBinom(n = 50, N = 100, l = 0.25, u = 0.95, alpha = 5, beta = 3)

betafunctions documentation built on May 29, 2024, 1:13 a.m.