Beta Inverse CDF
x = distfun_betainv ( p , a , b ) x = distfun_betainv ( p , a , b , lowertail )
a 1x1 or nxm matrix of doubles, the probability
a 1x1 or nxm matrix of doubles, the first shape parameter. Should be positive.
a 1x1 or nxm matrix of doubles, the second shape parameter. Should be positive.
a 1x1 matrix of booleans, the tail (default lowertail=%t). If lowertail is true (the default), then considers P(X<x) otherwise P(X>x).
a nxm matrix of doubles, the outcome
Computes the Inverse Beta cumulative probability distribution function.
Any scalar input argument is expanded to a matrix of doubles of the same size as the other input arguments.