Quantile to Quantile Mapping between Negative-Binomial Distributions
Interpolated quantile to quantile mapping between negative-binomial distributions with the same dispersion but different means. The Poisson distribution is a special case.
q2qpois(x, input.mean, output.mean) q2qnbinom(x, input.mean, output.mean, dispersion=0)
numeric matrix of counts.
numeric matrix of population means for
numeric matrix of population means for the output values. If a vector, then of the same length as
numeric scalar, vector or matrix giving negative binomial dispersion values.
This function finds the quantile with the same left and right tail probabilities relative to the output mean as
x has relative to the input mean.
q2qpois is equivalent to
q2qnbinom gives similar results to calling
pnbinom followed by
qnbinom as in the example below.
However this function avoids infinite values arising from rounding errors and does appropriate interpolation to return continuous values.
q2qnbinom is called by
equalizeLibSizes to perform quantile-to-quantile normalization.
numeric matrix of same dimensions as
output.mean as the new nominal population mean.
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