Inverse Gaussian

greybox.distributions.dinvgauss(q, loc=1, scale=1, log=False)[source]

Inverse Gaussian distribution density.

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

  • loc (float) – Mean parameter.

  • scale (float) – Scale parameter.

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

Returns:

Density values.

Return type:

array

greybox.distributions.pinvgauss(q, loc=1, scale=1)[source]

Inverse Gaussian distribution CDF.

Parameters:
  • q (array_like) – Quantiles.

  • loc (float) – Mean parameter.

  • scale (float) – Scale parameter.

Returns:

CDF values.

Return type:

array

greybox.distributions.qinvgauss(p, loc=1, scale=1)[source]

Inverse Gaussian distribution quantile function.

Parameters:
  • p (array_like) – Probabilities.

  • loc (float) – Mean parameter.

  • scale (float) – Scale parameter.

Returns:

Quantile values.

Return type:

array

greybox.distributions.rinvgauss(n, loc=1, scale=1)[source]

Inverse Gaussian distribution random number generation.

Parameters:
  • n (int) – Number of observations.

  • loc (float) – Mean parameter.

  • scale (float) – Scale parameter.

Returns:

Random values.

Return type:

array