1#ifndef STAN_MATH_PRIM_PROB_GUMBEL_LPDF_HPP
2#define STAN_MATH_PRIM_PROB_GUMBEL_LPDF_HPP
37template <
bool propto,
typename T_y,
typename T_loc,
typename T_scale,
39 T_y, T_loc, T_scale>* =
nullptr>
41 const T_scale&
beta) {
46 static constexpr const char* function =
"gumbel_lpdf";
48 mu,
"Scale parameter",
beta);
51 T_beta_ref beta_ref =
beta;
71 = to_ref_if<!is_constant_all<T_y, T_loc, T_scale>::value>(
inv(beta_val));
72 const auto& y_minus_mu_over_beta =
to_ref((y_val - mu_val) * inv_beta);
73 const auto& exp_y_m_mu_over_beta
74 = to_ref_if<!is_constant_all<T_y, T_loc, T_scale>::value>(
75 exp(-y_minus_mu_over_beta));
78 T_partials_return logp = -
sum(y_minus_mu_over_beta + exp_y_m_mu_over_beta);
84 const auto& scaled_diff
85 = to_ref_if<!is_constant_all<T_loc>::value
88 >= 2>(inv_beta * exp_y_m_mu_over_beta - inv_beta);
90 partials<0>(ops_partials) = scaled_diff;
93 partials<1>(ops_partials) = -scaled_diff;
96 edge<2>(ops_partials).partials_
97 = -y_minus_mu_over_beta * scaled_diff - inv_beta;
100 return ops_partials.build(logp);
103template <
typename T_y,
typename T_loc,
typename T_scale>
106 const T_scale&
beta) {
107 return gumbel_lpdf<false>(y, mu,
beta);
require_all_not_t< is_nonscalar_prim_or_rev_kernel_expression< std::decay_t< Types > >... > require_all_not_nonscalar_prim_or_rev_kernel_expression_t
Require none of the types satisfy is_nonscalar_prim_or_rev_kernel_expression.
return_type_t< T_y_cl, T_loc_cl, T_scale_cl > gumbel_lpdf(const T_y_cl &y, const T_loc_cl &mu, const T_scale_cl &beta)
Returns the Gumbel log probability density for the given location and scale.
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
int64_t size(const T &m)
Returns the size (number of the elements) of a matrix_cl or var_value<matrix_cl<T>>.
bool size_zero(const T &x)
Returns 1 if input is of length 0, returns 0 otherwise.
fvar< T > log(const fvar< T > &x)
auto as_value_column_array_or_scalar(T &&a)
Extract the value from an object and for eigen vectors and std::vectors convert to an eigen column ar...
void check_consistent_sizes(const char *)
Trivial no input case, this function is a no-op.
ref_type_t< T && > to_ref(T &&a)
This evaluates expensive Eigen expressions.
void check_finite(const char *function, const char *name, const T_y &y)
Return true if all values in y are finite.
void check_not_nan(const char *function, const char *name, const T_y &y)
Check if y is not NaN.
auto sum(const std::vector< T > &m)
Return the sum of the entries of the specified standard vector.
void check_positive(const char *function, const char *name, const T_y &y)
Check if y is positive.
int64_t max_size(const T1 &x1, const Ts &... xs)
Calculate the size of the largest input.
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.
fvar< T > inv(const fvar< T > &x)
auto make_partials_propagator(Ops &&... ops)
Construct an partials_propagator.
fvar< T > exp(const fvar< T > &x)
typename ref_type_if<!is_constant< T >::value, T >::type ref_type_if_not_constant_t
typename partials_return_type< Args... >::type partials_return_t
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Extends std::true_type when instantiated with zero or more template parameters, all of which extend t...
Template metaprogram to calculate whether a summand needs to be included in a proportional (log) prob...