Automatic Differentiation
 
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◆ student_t_qf() [3/4]

template<typename T_p , typename T_nu , typename T_mu , typename T_sigma , require_any_vector_t< T_p, T_nu, T_mu, T_sigma > * = nullptr>
auto stan::math::student_t_qf ( const T_p &  p,
const T_nu &  nu,
const T_mu &  mu,
const T_sigma &  sigma 
)
inline

A vectorized version of the Student's t quantile function that accepts std::vectors, Eigen Matrix/Array objects, or expressions, and containers of these.

Template Parameters
T_ptype of the probability parameter
T_nutype of the degrees of freedom parameter
T_mutype of the location parameter
T_sigmatype of the scale parameter
T_containertype of the container to hold results
Parameters
pProbability in the range [0, 1].
nuDegrees of freedom, must be non-negative.
muLocation parameter.
sigmaScale parameter, must be positive.
Returns
Container with quantile function values for each input.

Definition at line 71 of file student_t_qf.hpp.