1 #ifndef STAN__AGRAD__REV__FUNCTIONS__GAMMA_P_HPP
2 #define STAN__AGRAD__REV__FUNCTIONS__GAMMA_P_HPP
10 #include <boost/math/special_functions/gamma.hpp>
11 #include <boost/math/special_functions/digamma.hpp>
17 class gamma_p_vv_vari :
public op_vv_vari {
19 gamma_p_vv_vari(vari* avi, vari* bvi) :
20 op_vv_vari(stan::math::
gamma_p(avi->val_,bvi->val_),
34 double delta = s / (avi_->val_ * avi_->val_);
40 delta = s / ((k + avi_->val_) * (k + avi_->val_));
44 avi_->adj_ -= adj_ * ((u) * ( dig - l ) +
std::exp( avi_->val_ * l ) * S / g);
45 bvi_->adj_ += adj_ * (
std::exp(-bvi_->val_) *
std::pow(bvi_->val_, avi_->val_ - 1.0) / g);
49 class gamma_p_vd_vari :
public op_vd_vari {
51 gamma_p_vd_vari(vari* avi,
double b) :
52 op_vd_vari(stan::math::
gamma_p(avi->val_,b),
66 double delta = s / (avi_->val_ * avi_->val_);
72 delta = s / ((k + avi_->val_) * (k + avi_->val_));
75 avi_->adj_ -= adj_ * ((u) * ( dig - l ) +
std::exp( avi_->val_ * l ) * S / g);
79 class gamma_p_dv_vari :
public op_dv_vari {
81 gamma_p_dv_vari(
double a, vari* bvi) :
82 op_dv_vari(stan::math::
gamma_p(a,bvi->val_),
93 return var(
new gamma_p_vv_vari(a.
vi_,b.
vi_));
98 return var(
new gamma_p_vd_vari(a.
vi_,b));
103 return var(
new gamma_p_dv_vari(a,b.
vi_));
fvar< T > fabs(const fvar< T > &x)
fvar< T > tgamma(const fvar< T > &x)
fvar< T > pow(const fvar< T > &x1, const fvar< T > &x2)
vari * vi_
Pointer to the implementation of this variable.
fvar< T > gamma_p(const fvar< T > &x1, const fvar< T > &x2)
Independent (input) and dependent (output) variables for gradients.
double e()
Return the base of the natural logarithm.
fvar< T > digamma(const fvar< T > &x)
fvar< T > log(const fvar< T > &x)
fvar< T > exp(const fvar< T > &x)
double gamma_p(double x, double a)