zscoreNBinom {edgeR}R Documentation

Z-score Equivalents of Negative Binomial Deviate

Description

Compute z-score equivalents of negative binomial random deviates.

Usage

zscoreNBinom(q, size, mu)

Arguments

q

numeric vector or matrix giving negative binomial random values.

size

negative binomial size parameter (>0).

mu

mean of negative binomial distribution (>0).

Details

This function computes the mid-p value of q, then converts to the standard normal deviate with the same cumulative probability distribution value. Care is taken to do the computations accurately in both tails of the distributions.

Non-integer values of q are allowed and handled by interpolation.

Value

Numeric vector or matrix giving equivalent deviates from a standard normal distribution.

Author(s)

Gordon Smyth

See Also

pnbinom, qnorm in the stats package.

Examples

zscoreNBinom(c(0,10,100), mu=10, size=10)

[Package edgeR version 3.24.3 Index]