1 #ifndef STAN_MATH_PRIM_SCAL_PROB_BETA_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_BETA_LOG_HPP
24 #include <boost/math/special_functions/gamma.hpp>
25 #include <boost/random/gamma_distribution.hpp>
26 #include <boost/random/variate_generator.hpp>
50 template <
bool propto,
51 typename T_y,
typename T_scale_succ,
typename T_scale_fail>
52 typename return_type<T_y, T_scale_succ, T_scale_fail>::type
54 const T_scale_succ& alpha,
const T_scale_fail& beta) {
55 static const char*
function(
"beta_log");
71 T_partials_return logp(0.0);
78 "First shape parameter", alpha,
79 "Second shape parameter", beta);
91 for (
size_t n = 0; n < N; n++) {
92 const T_partials_return y_dbl =
value_of(y_vec[n]);
93 if (y_dbl < 0 || y_dbl > 1)
98 operands_and_partials(y, alpha, beta);
101 T_partials_return, T_y>
104 T_partials_return, T_y>
107 for (
size_t n = 0; n <
length(y); n++) {
115 T_partials_return, T_scale_succ>
116 lgamma_alpha(
length(alpha));
118 T_partials_return, T_scale_succ>
119 digamma_alpha(
length(alpha));
120 for (
size_t n = 0; n <
length(alpha); n++) {
128 T_partials_return, T_scale_fail>
129 lgamma_beta(
length(beta));
131 T_partials_return, T_scale_fail>
132 digamma_beta(
length(beta));
134 for (
size_t n = 0; n <
length(beta); n++) {
142 T_partials_return, T_scale_succ, T_scale_fail>
143 lgamma_alpha_beta(
max_size(alpha, beta));
146 T_scale_fail>::value,
147 T_partials_return, T_scale_succ, T_scale_fail>
148 digamma_alpha_beta(
max_size(alpha, beta));
150 for (
size_t n = 0; n <
max_size(alpha, beta); n++) {
151 const T_partials_return alpha_beta =
value_of(alpha_vec[n])
154 lgamma_alpha_beta[n] =
lgamma(alpha_beta);
156 digamma_alpha_beta[n] =
digamma(alpha_beta);
159 for (
size_t n = 0; n < N; n++) {
160 const T_partials_return y_dbl =
value_of(y_vec[n]);
161 const T_partials_return alpha_dbl =
value_of(alpha_vec[n]);
162 const T_partials_return beta_dbl =
value_of(beta_vec[n]);
165 logp += lgamma_alpha_beta[n];
167 logp -= lgamma_alpha[n];
169 logp -= lgamma_beta[n];
171 logp += (alpha_dbl-1.0) * log_y[n];
173 logp += (beta_dbl-1.0) * log1m_y[n];
176 operands_and_partials.
d_x1[n] += (alpha_dbl-1)/y_dbl
177 + (beta_dbl-1)/(y_dbl-1);
179 operands_and_partials.
d_x2[n]
180 += log_y[n] + digamma_alpha_beta[n] - digamma_alpha[n];
182 operands_and_partials.
d_x3[n]
183 += log1m_y[n] + digamma_alpha_beta[n] - digamma_beta[n];
185 return operands_and_partials.
value(logp);
188 template <
typename T_y,
typename T_scale_succ,
typename T_scale_fail>
191 const T_scale_fail& beta) {
192 return beta_log<false>(y, alpha, beta);
VectorView< T_return_type, false, true > d_x2
fvar< T > lgamma(const fvar< T > &x)
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.
return_type< T_y, T_scale_succ, T_scale_fail >::type beta_log(const T_y &y, const T_scale_succ &alpha, const T_scale_fail &beta)
The log of the beta density for the specified scalar(s) given the specified sample size(s)...
fvar< T > log(const fvar< T > &x)
T_return_type value(double value)
Returns a T_return_type with the value specified with the partial derivatves.
size_t length(const std::vector< T > &x)
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...
This class builds partial derivatives with respect to a set of operands.
VectorView< T_return_type, false, true > d_x3
size_t max_size(const T1 &x1, const T2 &x2)
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.
VectorBuilder allocates type T1 values to be used as intermediate values.
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.
bool check_nonnegative(const char *function, const char *name, const T_y &y)
Return true if y is non-negative.
VectorView is a template expression that is constructed with a container or scalar, which it then allows to be used as an array using operator[].
bool check_positive_finite(const char *function, const char *name, const T_y &y)
Return true if y is positive and finite.
fvar< T > log1m(const fvar< T > &x)
VectorView< T_return_type, false, true > d_x1
fvar< T > digamma(const fvar< T > &x)