Stan Math Library
4.9.0
Automatic Differentiation
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The normalized incomplete beta function of a, b, with outcome x.
Used to compute the cumulative density function for the beta distribution.
a | Shape parameter a >= 0; a and b can't both be 0 |
b | Shape parameter b >= 0 |
x | Random variate. 0 <= x <= 1 |
if | constraints are violated or if any argument is NaN |
Definition at line 25 of file inc_beta.hpp.