GenBinomial: The Generalised Binomial Distribution

In significantstats/latticestats: Statistical Methods for Lattice Structures

Description

Density, distribution function, quantile function and random generation for the generalised binomial distribution with parameters pi, theta and size.

Usage

dgenbinom(g, pi, theta, size)

pgenbinom(g, pi, theta, size, lower.tail = TRUE)

qgenbinom(p, pi, theta, size, lower.tail = TRUE)

rgenbinom(n, pi, theta, size)

Arguments

g	vector of quantiles.
pi	probability of success of the bernoulli.
theta	probability of success on each binomial trial.
size	number of trials.
lower.tail	logical; if TRUE (default), probabilities are Pr[X ≤ x], otherwise Pr[X > x].
p	vector of probabilities.
n	number of observations.

Details

The generalised binomial distribution with size = n, pi = pi and theta = theta has density

Pr(G = g) = \begin{cases} x, g = 0 \\ y, g > 0\end{cases}

significantstats/latticestats documentation built on Nov. 23, 2019, 11:27 a.m.