Noncentral T Inverse CDF
x = distfun_nctinv ( p , v , delta ) x = distfun_nctinv ( p , v , delta , lowertail )
a matrix of doubles, the probability. Must be in the range [0,1].
a matrix of doubles, the number of degrees of freedom, v>0.
a matrix of doubles, the noncentrality parameter, delta is real
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 outcome
Computes the Inverse Noncentral T cumulative probability distribution function.
Any scalar input argument is expanded to a matrix of doubles of the same size as the other input arguments.
Caution This distribution is known to have inferior accuracy in some cases.