Log-S

greybox.distributions.dls(q, loc=0, scale=1, log=False)

Log-S distribution density.

The density is obtained by transforming an S-distribution through the exponential function with Jacobian adjustment.

Parameters:

• q (array_like) – Quantiles (must be positive).

• loc (float) – Location parameter.

• scale (float) – Scale parameter.

• log (bool) – If True, return log-density.

Returns:

Density values.

Return type:

array

greybox.distributions.qls(p, loc=0, scale=1)

Log-S distribution quantile function.

Quantiles are obtained by exponentiating S-distribution quantiles.

Parameters:

• p (array_like) – Probabilities.

• loc (float) – Location parameter.

• scale (float) – Scale parameter.

Returns:

Quantile values.

Return type:

array