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

◆ inv_chi_square_lccdf()

template<typename T_y , typename T_dof >
return_type_t< T_y, T_dof > stan::math::inv_chi_square_lccdf ( const T_y &  y,
const T_dof &  nu 
)

Returns the inverse chi square log complementary cumulative distribution function for the given variate and degrees of freedom.

If given containers of matching sizes, returns the log sum of probabilities.

Template Parameters
T_ytype of scalar parameter
T_doftype of degrees of freedom parameter
Parameters
yscalar parameter
nudegrees of freedom parameter
Returns
log probability or log sum of probabilities
Exceptions
std::domain_errorif y is negative or nu is nonpositive
std::invalid_argumentif container sizes mismatch

Definition at line 38 of file inv_chi_square_lccdf.hpp.