Negative Binomial Inverse CDF
x = distfun_nbininv(p,R,P) x = distfun_nbininv(p,R,P,lowertail)
a matrix of doubles, the probability. Must be in the range [0,1].
a matrix of doubles, the number of successes. R belongs to the set {0,1,2,3,4,.......}
a matrix of doubles, the probability of getting success in a Bernoulli trial. P in [0,1].
a 1-by-1 matrix of booleans, the tail (default lowertail=%t). If lowertail is true (the default), then considers P(X<=x) otherwise P(X>x).
a matrix of doubles, the extra trials for R successes. x belongs to the set {0,1,2,3,...,N}
Computes the Inverse cumulative distribution function of the Negative Binomial distribution function.
Any scalar input argument is expanded to a matrix of doubles of the same size as the other input arguments.
http://en.wikipedia.org/wiki/Negative_binomial_distribution