1 #ifndef STAN_MATH_PRIM_SCAL_PROB_BETA_CDF_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_BETA_CDF_LOG_HPP
4 #include <boost/math/special_functions/gamma.hpp>
5 #include <boost/random/gamma_distribution.hpp>
6 #include <boost/random/variate_generator.hpp>
31 template <
typename T_y,
typename T_scale_succ,
typename T_scale_fail>
32 typename return_type<T_y, T_scale_succ, T_scale_fail>::type
34 const T_scale_fail& beta) {
45 static const char*
function(
"stan::math::beta_cdf");
51 using boost::math::tools::promote_args;
55 T_partials_return cdf_log(0.0);
64 "First shape parameter", alpha,
65 "Second shape parameter", beta);
74 operands_and_partials(y, alpha, beta);
88 T_partials_return, T_scale_succ, T_scale_fail>
89 digamma_alpha_vec(
max_size(alpha, beta));
93 T_partials_return, T_scale_succ, T_scale_fail>
94 digamma_beta_vec(
max_size(alpha, beta));
98 T_partials_return, T_scale_succ, T_scale_fail>
99 digamma_sum_vec(
max_size(alpha, beta));
102 for (
size_t i = 0; i < N; i++) {
103 const T_partials_return alpha_dbl =
value_of(alpha_vec[i]);
104 const T_partials_return beta_dbl =
value_of(beta_vec[i]);
106 digamma_alpha_vec[i] =
digamma(alpha_dbl);
107 digamma_beta_vec[i] =
digamma(beta_dbl);
108 digamma_sum_vec[i] =
digamma(alpha_dbl + beta_dbl);
113 for (
size_t n = 0; n < N; n++) {
115 const T_partials_return y_dbl =
value_of(y_vec[n]);
116 const T_partials_return alpha_dbl =
value_of(alpha_vec[n]);
117 const T_partials_return beta_dbl =
value_of(beta_vec[n]);
118 const T_partials_return betafunc_dbl =
exp(
lbeta(alpha_dbl, beta_dbl));
120 const T_partials_return Pn =
inc_beta(alpha_dbl, beta_dbl, y_dbl);
125 operands_and_partials.
d_x1[n] +=
pow(1-y_dbl, beta_dbl-1)
126 *
pow(y_dbl, alpha_dbl-1) / betafunc_dbl / Pn;
128 T_partials_return g1 = 0;
129 T_partials_return g2 = 0;
133 digamma_alpha_vec[n],
134 digamma_beta_vec[n], digamma_sum_vec[n],
138 operands_and_partials.
d_x2[n] += g1 / Pn;
140 operands_and_partials.
d_x3[n] += g2 / Pn;
143 return operands_and_partials.
to_var(cdf_log, 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 > lbeta(const fvar< T > &x1, const fvar< T > &x2)
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)
VectorView< T_partials_return, is_vector< T1 >::value, is_constant_struct< T1 >::value > d_x1
Metaprogram to determine if a type has a base scalar type that can be assigned to type double...
fvar< T > inc_beta(const fvar< T > &a, const fvar< T > &b, const fvar< T > &x)
fvar< T > exp(const fvar< T > &x)
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)
return_type< T_y, T_scale_succ, T_scale_fail >::type beta_cdf_log(const T_y &y, const T_scale_succ &alpha, const T_scale_fail &beta)
bool check_less_or_equal(const char *function, const char *name, const T_y &y, const T_high &high)
Return true if y is less or equal to high.
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.
VectorView< T_partials_return, is_vector< T2 >::value, is_constant_struct< T2 >::value > d_x2
fvar< T > pow(const fvar< T > &x1, const fvar< T > &x2)
bool check_nonnegative(const char *function, const char *name, const T_y &y)
Return true if y is non-negative.
VectorView is a template metaprogram that takes its argument and allows it to be used like a vector...
void grad_reg_inc_beta(T &g1, T &g2, T a, T b, T z, T digammaA, T digammaB, T digammaSum, T betaAB)
bool check_positive_finite(const char *function, const char *name, const T_y &y)
Return true if y is positive and finite.
fvar< T > digamma(const fvar< T > &x)