Stan Math Library  2.15.0
reverse mode automatic differentiation
digamma.hpp
Go to the documentation of this file.
1 #ifndef STAN_MATH_PRIM_MAT_FUN_DIGAMMA_HPP
2 #define STAN_MATH_PRIM_MAT_FUN_DIGAMMA_HPP
3 
5 #include <boost/math/special_functions/digamma.hpp>
6 
7 namespace stan {
8  namespace math {
9 
17  struct digamma_fun {
18  template <typename T>
19  static inline T fun(const T& x) {
21  return digamma(x);
22  }
23  };
24 
32  template <typename T>
34  digamma(const T& x) {
36  }
37 
38  }
39 }
40 
41 #endif
Structure to wrap digamma() so it can be vectorized.
Definition: digamma.hpp:17
var digamma(const var &a)
Definition: digamma.hpp:23
static T fun(const T &x)
Definition: digamma.hpp:19
Eigen::Matrix< scalar_t, T::RowsAtCompileTime, T::ColsAtCompileTime > return_t
Return type for applying the function elementwise to a matrix expression template of type T...
static return_t apply(const T &x)
Return the result of applying the function defined by the template parameter F to the specified matri...
fvar< T > digamma(const fvar< T > &x)
Return the derivative of the log gamma function at the specified argument.
Definition: digamma.hpp:22

     [ Stan Home Page ] © 2011–2016, Stan Development Team.