Automatic Differentiation
 
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◆ exp_mod_normal_cdf() [1/2]

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

Returns the 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_inv_scale_cltype of inverse scale
Parameters
y(Sequence of) scalar(s).
mu(Sequence of) location(s).
sigma(Sequence of) scale(s).
lambda(Sequence of) inverse scale(s).
Returns
The log of the product of densities.

Definition at line 36 of file exp_mod_normal_cdf.hpp.