Automatic Differentiation
 
Loading...
Searching...
No Matches

◆ student_t_qf() [2/4]

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

The quantile function of the Student's t-distribution.

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
Parameters
pProbability in the range [0, 1].
nuDegrees of freedom, must be non-negative.
muLocation parameter.
sigmaScale parameter, must be positive.
Returns
Quantile function value.
Exceptions
std::domain_errorif nu is negative or sigma is not positive, or if p is not in [0, 1].

Definition at line 31 of file student_t_qf.hpp.