1 #ifndef STAN_MATH_PRIM_SCAL_PROB_EXPONENTIAL_LCCDF_HPP 2 #define STAN_MATH_PRIM_SCAL_PROB_EXPONENTIAL_LCCDF_HPP 14 template <
typename T_y,
typename T_inv_scale>
16 const T_y& y,
const T_inv_scale&
beta) {
20 static const char*
function =
"exponential_lccdf";
22 T_partials_return ccdf_log(0.0);
35 for (
size_t n = 0; n < N; n++) {
36 const T_partials_return beta_dbl =
value_of(beta_vec[n]);
37 const T_partials_return y_dbl =
value_of(y_vec[n]);
38 ccdf_log += -beta_dbl * y_dbl;
41 ops_partials.
edge1_.partials_[n] -= beta_dbl;
43 ops_partials.
edge2_.partials_[n] -= y_dbl;
45 return ops_partials.
build(ccdf_log);
boost::math::tools::promote_args< double, typename partials_type< typename scalar_type< T >::type >::type, typename partials_return_type< T_pack... >::type >::type type
T value_of(const fvar< T > &v)
Return the value of the specified variable.
Extends std::true_type when instantiated with zero or more template parameters, all of which extend t...
scalar_seq_view provides a uniform sequence-like wrapper around either a scalar or a sequence of scal...
This template builds partial derivatives with respect to a set of operands.
bool size_zero(T &x)
Returns 1 if input is of length 0, returns 0 otherwise.
void check_nonnegative(const char *function, const char *name, const T_y &y)
Check if y is non-negative.
fvar< T > beta(const fvar< T > &x1, const fvar< T > &x2)
Return fvar with the beta function applied to the specified arguments and its gradient.
void check_positive_finite(const char *function, const char *name, const T_y &y)
Check if y is positive and finite.
boost::math::tools::promote_args< double, typename scalar_type< T >::type, typename return_type< Types_pack... >::type >::type type
void check_not_nan(const char *function, const char *name, const T_y &y)
Check if y is not NaN.
size_t max_size(const T1 &x1, const T2 &x2)
T_return_type build(double value)
Build the node to be stored on the autodiff graph.
internal::ops_partials_edge< double, Op2 > edge2_
internal::ops_partials_edge< double, Op1 > edge1_
return_type< T_y, T_inv_scale >::type exponential_lccdf(const T_y &y, const T_inv_scale &beta)