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# scipy.special.betaincinv

scipy.special.betaincinv(a, b, y, out=None) = <ufunc 'betaincinv'>

  Inverse of the regularized incomplete beta function.

  Computes \(x\) such that:

  \[y = I_x(a, b) = \frac{\Gamma(a+b)}{\Gamma(a)\Gamma(b)} \int_0^x t^{a-1}(1-t)^{b-1}dt,\]

  where \(I_x\) is the normalized incomplete beta function `betainc` and \(\Gamma\) is the `gamma` function [1].

  Parameters:
    a, b array_like

      Positive, real-valued parameters

    y array_like

      Real-valued input

    out ndarray, optional

      Optional output array for function values

  Returns:
    scalar or ndarray

      Value of the inverse of the regularized incomplete beta function

  See also

  `betainc`

    regularized incomplete beta function

  `gamma`

    gamma function

  References

  [1]

  NIST Digital Library of Mathematical Functions https://dlmf.nist.gov/8.17

  Examples

      >>> import scipy.special as sc

  This function is the inverse of `betainc` for fixed values of \(a\) and \(b\).

      >>> a, b = 1.2, 3.1
      >>> y = sc.betainc(a, b, 0.2)
      >>> sc.betaincinv(a, b, y)
      0.2
      >>>
      >>> a, b = 7.5, 0.4
      >>> x = sc.betaincinv(a, b, 0.5)
      >>> sc.betainc(a, b, x)
      0.5