Beta

greybox.distributions.dbeta(q, a=1, b=1, log=False)

Beta distribution density.

Parameters:

• q (array_like) – Quantiles (must be in [0, 1]).

• a (float) – First shape parameter (alpha).

• b (float) – Second shape parameter (beta).

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

Returns:

Density values.

Return type:

array

greybox.distributions.pbeta(q, a=1, b=1)

Beta distribution CDF.

Parameters:

• q (array_like) – Quantiles.

• a (float) – First shape parameter.

• b (float) – Second shape parameter.

Returns:

CDF values.

Return type:

array

greybox.distributions.qbeta(p, a=1, b=1)

Beta distribution quantile function.

Parameters:

• p (array_like) – Probabilities.

• a (float) – First shape parameter.

• b (float) – Second shape parameter.

Returns:

Quantile values.

Return type:

array

greybox.distributions.rbeta(n, a=1, b=1)

Beta distribution random number generation.

Parameters:

• n (int) – Number of observations.

• a (float) – First shape parameter.

• b (float) – Second shape parameter.

Returns:

Random values.

Return type:

array