rGammaBinom: Random number generation under the Gamma-extended Binomial...

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

Random number generation under the Gamma-extended Binomial distribution.

Description

Random number generation under the Gamma-extended Binomial distribution.

Usage

rGammaBinom(n, size, prob, precision = 1e-04)

Arguments

n	Number of observations.
size	Number of "trials" (zero or more). Need not be integer.
prob	Probability of "success" on each "trial". Need not be integer.
precision	The precision with which the quantile is to be calculated. Default is 1e-4 (i.e., search terminates when there is no registered change in estimate at the fourth decimal). Tuning this value will impact the time it takes for the search algorithm to arrive at an estimate.

Note

Calls qGammaBinom(), which makes the random draw slower than what one might be used to (since qGammaBinom() calls pGammaBinom() and employs a search-algorithm to find the appropriate value down to a specifiable level of precision).

Examples

# Assume some variable follows a Gamma-Binomial distribution with
# "number of trials" = 10.5 and probability of "success" for each "trial"
# = 0.75 To draw a random value from this distribution:
rGammaBinom(n = 1, size = 10, prob = 0.75)

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