pzinb: The Zero-Inflated Negative Binomial Distribution

In SeqNet: Generate RNA-Seq Data from Gene-Gene Association Networks

The Zero-Inflated Negative Binomial Distribution

Description

The Zero-Inflated Negative Binomial Distribution

Usage

pzinb(q, size, mu, rho, lower.tail = TRUE, log.p = FALSE)

Arguments

q	A vector of quantities.
size	The dispersion paramater used in dnbinom
mu	The mean parameter used in dnbinom.
rho	The zero-inflation parameter.
lower.tail	Logical; if TRUE, then probabilities are P(X <= x). Otherwise, P(X > x).
log.p	Logical; if TRUE, then log(p) is returned.

Value

The probabilities for the given q values.

Examples

x <- rzinb(10, 1, 10, 0.1)
p <- pzinb(x, 1, 10, 0.1)
y <- qzinb(p, 1, 10, 0.1)
all(x == y)
# Compute P(0 < X < 5) for X ~ ZINB(1, 10, 0.1)
sum(dzinb(0:5, 1, 10, 0.1))

SeqNet documentation built on Oct. 10, 2026, 5:06 p.m.