Folded Normal

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

Folded Normal distribution density.

f(x) = 1/sqrt(2*pi*scale^2) * (

exp(-(x-loc)^2 / (2*scale^2)) + exp(-(x+loc)^2 / (2*scale^2)))

Parameters:

• q (array_like) – Quantiles.

• loc (float) – Location parameter.

• scale (float) – Scale parameter.

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

Returns:

Density values.

Return type:

array

greybox.distributions.pfnorm(q, loc=0, scale=1)

Folded Normal distribution CDF.

Parameters:

• q (array_like) – Quantiles.

• loc (float) – Location parameter.

• scale (float) – Scale parameter.

Returns:

CDF values.

Return type:

array

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

Folded Normal distribution quantile function.

Parameters:

• p (array_like) – Probabilities.

• loc (float) – Location parameter.

• scale (float) – Scale parameter.

Returns:

Quantile values.

Return type:

array

greybox.distributions.rfnorm(n, loc=0, scale=1)

Folded Normal distribution random number generation.

Parameters:

• n (int) – Number of observations.

• loc (float) – Location parameter.

• scale (float) – Scale parameter.

Returns:

Random values.

Return type:

array