Normal Inverse CDF
x = distfun_norminv ( p ) x = distfun_norminv ( p , mu , sigma ) x = distfun_norminv ( p , mu , sigma , lowertail )
a 1x1 or nxm matrix of doubles, the probability
a 1x1 or nxm matrix of doubles, the mean (default mu = 0)
a 1x1 or nxm matrix of doubles, the standard deviation (default sigma = 1)
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 Normal cumulated probability distribution function of the Normal (Laplace-Gauss) function.
Any scalar input argument is expanded to a matrix of doubles of the same size as the other input arguments.