# cdfLogisticInv¶

## Purpose¶

Computes the logistic inverse cumulative distribution function.

## Format¶

x = cdfLogisticInv(p, loc, scale)
Parameters: p (NxK matrix, Nx1 vector or scalar) – Probabilities at which to compute the logistic inverse cumulative distribution function. $$0 < p < 1$$. loc (NxK matrix, Nx1 vector or scalar) – Location parameter, ExE conformable with x. scale (NxK matrix, Nx1 vector or scalar) – Scale parameter; ExE conformable with x. $$0 < scale$$. x (NxK matrix, Nx1 vector or scalar) – each value of x is the value such that the logistic cumulative distribution function with loc and scale evaluated at x is equal to the corresponding value of p.

## Examples¶

// Probabilities
p = {0.1, 0.25, 0.5, 0.75, 0.95};

// Location parameter
loc = 0;

// Scale parameter
s = 2;

x = cdfLogisticInv(p, loc, s);


After the above code, X will equal:

-4.3944
-2.1972
0.0000
2.1972
5.8889