Publisher review:mnbinrnd - A generator MNBINRND and a density function MNBINPDF In many experimental settings in the life sciences, aggregated count data needs to be analyzed, for example, the number of mites on leaves of a tree, or the number of parasites found in hosts. This data is often well-described by a negative-binomial distribution.Although Matlab's statistical toolbox has negative-binomial functions, they are parametrized for a limited form of the distribution based on the expected number of Bernoulli events needed to achieve a number of successes. The parameters are the event probability, P, and a positive integer aggregation constant, R, the number of successes.The more general form is parametrized with a mean count W and an aggregation K. W and K are related to the traditional parameters P and R by the expressions:P = K/(K W) and K = R,with the distinction that K is any positive real number, not just positive integers.Here I provide two functions for the more general form, a generator MNBINRND and a density function MNBINPDF.Requires the Statistics Toolbox. Requirements: · MATLAB Release: R10 · Statistics Toolbox
mnbinrnd is a Matlab script for Statistics and Probability scripts design by Don Maszle.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Operating system:Windows / Linux / Mac OS / BSD / Solaris
mnbinrnd script details 
