1#ifndef STAN_MATH_PRIM_PROB_CAUCHY_LPDF_HPP
2#define STAN_MATH_PRIM_PROB_CAUCHY_LPDF_HPP
40template <
bool propto,
typename T_y,
typename T_loc,
typename T_scale,
42 T_y, T_loc, T_scale>* =
nullptr>
44 const T_scale& sigma) {
50 static constexpr const char* function =
"cauchy_lpdf";
52 mu,
"Scale parameter", sigma);
55 T_sigma_ref sigma_ref = sigma;
64 T_partials_return logp(0.0);
77 = to_ref_if<!is_constant_all<T_scale>::value>(
inv(sigma_val));
78 const auto& y_minus_mu
79 = to_ref_if<!is_constant_all<T_y, T_loc, T_scale>::value>(y_val - mu_val);
90 const auto& sigma_squared
91 = to_ref_if<!is_constant_all<T_scale>::value>(
square(sigma_val));
92 const auto& y_minus_mu_squared
93 = to_ref_if<!is_constant_all<T_scale>::value>(
square(y_minus_mu));
97 2 * y_minus_mu / (sigma_squared + y_minus_mu_squared));
100 partials<0>(ops_partials) = -mu_deriv;
102 partials<0>(ops_partials)[0] = -
sum(mu_deriv);
106 partials<1>(ops_partials) = std::move(mu_deriv);
110 partials<2>(ops_partials) = (y_minus_mu_squared - sigma_squared)
112 / (sigma_squared + y_minus_mu_squared);
115 return ops_partials.build(logp);
118template <
typename T_y,
typename T_loc,
typename T_scale>
121 const T_scale& sigma) {
122 return cauchy_lpdf<false>(y, mu, sigma);
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 > cauchy_lpdf(const T_y_cl &y, const T_loc_cl &mu, const T_scale_cl &sigma)
The log of the Cauchy density for the specified scalar(s) given the specified location parameter(s) a...
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.
T to_ref_if(T &&a)
No-op that should be optimized away.
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.
static constexpr double LOG_PI
The natural logarithm of , .
fvar< T > log1p(const fvar< T > &x)
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.
int64_t max_size(const T1 &x1, const Ts &... xs)
Calculate the size of the largest input.
fvar< T > inv(const fvar< T > &x)
auto make_partials_propagator(Ops &&... ops)
Construct an partials_propagator.
void check_positive_finite(const char *function, const char *name, const T_y &y)
Check if y is positive and finite.
fvar< T > square(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 ...
If the input type T is either an eigen matrix with 1 column or 1 row at compile time or a standard ve...
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...