1 #ifndef STAN_MATH_PRIM_SCAL_PROB_UNIFORM_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_UNIFORM_LOG_HPP
4 #include <boost/random/uniform_real_distribution.hpp>
5 #include <boost/random/variate_generator.hpp>
43 template <
bool propto,
44 typename T_y,
typename T_low,
typename T_high>
45 typename return_type<T_y, T_low, T_high>::type
46 uniform_log(
const T_y& y,
const T_low& alpha,
const T_high& beta) {
47 static const char*
function(
"stan::math::uniform_log");
65 T_partials_return logp(0.0);
69 check_greater(
function,
"Upper bound parameter", beta, alpha);
72 "Lower bound parameter", alpha,
73 "Upper bound parameter", beta);
84 for (
size_t n = 0; n < N; n++) {
85 const T_partials_return y_dbl =
value_of(y_vec[n]);
92 T_partials_return, T_low, T_high>
93 inv_beta_minus_alpha(
max_size(alpha, beta));
94 for (
size_t i = 0; i <
max_size(alpha, beta); i++)
96 inv_beta_minus_alpha[i]
100 T_partials_return, T_low, T_high>
101 log_beta_minus_alpha(
max_size(alpha, beta));
102 for (
size_t i = 0; i <
max_size(alpha, beta); i++)
104 log_beta_minus_alpha[i]
108 operands_and_partials(y, alpha, beta);
109 for (
size_t n = 0; n < N; n++) {
111 logp -= log_beta_minus_alpha[n];
114 operands_and_partials.
d_x2[n] += inv_beta_minus_alpha[n];
116 operands_and_partials.
d_x3[n] -= inv_beta_minus_alpha[n];
118 return operands_and_partials.
to_var(logp, y, alpha, beta);
121 template <
typename T_y,
typename T_low,
typename T_high>
124 uniform_log(
const T_y& y,
const T_low& alpha,
const T_high& beta) {
125 return uniform_log<false>(y, alpha, beta);
bool check_not_nan(const char *function, const char *name, const T_y &y)
Return true if y is not NaN.
T value_of(const fvar< T > &v)
Return the value of the specified variable.
fvar< T > log(const fvar< T > &x)
size_t length(const std::vector< T > &x)
T_return_type to_var(T_partials_return logp, const T1 &x1=0, const T2 &x2=0, const T3 &x3=0, const T4 &x4=0, const T5 &x5=0, const T6 &x6=0)
Template metaprogram to calculate whether a summand needs to be included in a proportional (log) prob...
boost::math::tools::promote_args< typename scalar_type< T1 >::type, typename scalar_type< T2 >::type, typename scalar_type< T3 >::type, typename scalar_type< T4 >::type, typename scalar_type< T5 >::type, typename scalar_type< T6 >::type >::type type
Metaprogram to determine if a type has a base scalar type that can be assigned to type double...
VectorView< T_partials_return, is_vector< T3 >::value, is_constant_struct< T3 >::value > d_x3
A variable implementation that stores operands and derivatives with respect to the variable...
size_t max_size(const T1 &x1, const T2 &x2)
bool check_finite(const char *function, const char *name, const T_y &y)
Return true if y is finite.
bool check_consistent_sizes(const char *function, const char *name1, const T1 &x1, const char *name2, const T2 &x2)
Return true if the dimension of x1 is consistent with x2.
return_type< T_y, T_low, T_high >::type uniform_log(const T_y &y, const T_low &alpha, const T_high &beta)
The log of a uniform density for the given y, lower, and upper bound.
VectorView< T_partials_return, is_vector< T2 >::value, is_constant_struct< T2 >::value > d_x2
VectorView is a template metaprogram that takes its argument and allows it to be used like a vector...
boost::math::tools::promote_args< typename partials_type< typename scalar_type< T1 >::type >::type, typename partials_type< typename scalar_type< T2 >::type >::type, typename partials_type< typename scalar_type< T3 >::type >::type, typename partials_type< typename scalar_type< T4 >::type >::type, typename partials_type< typename scalar_type< T5 >::type >::type, typename partials_type< typename scalar_type< T6 >::type >::type >::type type
bool check_greater(const char *function, const char *name, const T_y &y, const T_low &low)
Return true if y is strictly greater than low.