Automatic Differentiation
 
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◆ skew_double_exponential_lcdf() [1/2]

template<typename T_y_cl , typename T_loc_cl , typename T_scale_cl , typename T_skewness_cl , require_all_prim_or_rev_kernel_expression_t< T_y_cl, T_loc_cl, T_scale_cl, T_skewness_cl > * = nullptr, require_any_not_stan_scalar_t< T_y_cl, T_loc_cl, T_scale_cl, T_skewness_cl > * = nullptr>
return_type_t< T_y_cl, T_loc_cl, T_scale_cl, T_skewness_cl > stan::math::skew_double_exponential_lcdf ( const T_y_cl &  y,
const T_loc_cl &  mu,
const T_scale_cl &  sigma,
const T_skewness_cl &  tau 
)

Returns the skew double exponential cumulative density function.

Given containers of matching sizes, returns the product of probabilities.

Template Parameters
T_y_cltype of scalar outcome
T_loc_cltype of location
T_scale_cltype of scale
T_skewness_cltype of inverse scale
Parameters
y(Sequence of) scalar(s).
mu(Sequence of) location(s).
sigma(Sequence of) scale(s).
tau(Sequence of) inverse scale(s).
Returns
The log of the product of densities.

Definition at line 37 of file skew_double_exponential_lcdf.hpp.