Stan Math Library  2.9.0
reverse mode automatic differentiation
mean.hpp
Go to the documentation of this file.
1 #ifndef STAN_MATH_PRIM_MAT_FUN_MEAN_HPP
2 #define STAN_MATH_PRIM_MAT_FUN_MEAN_HPP
3 
6 #include <boost/math/tools/promotion.hpp>
7 #include <vector>
8 
9 namespace stan {
10  namespace math {
11 
20  template <typename T>
21  inline
22  typename boost::math::tools::promote_args<T>::type
23  mean(const std::vector<T>& v) {
24  stan::math::check_nonzero_size("mean", "v", v);
25  T sum(v[0]);
26  for (size_t i = 1; i < v.size(); ++i)
27  sum += v[i];
28  return sum / v.size();
29  }
30 
37  template <typename T, int R, int C>
38  inline
39  typename boost::math::tools::promote_args<T>::type
40  mean(const Eigen::Matrix<T, R, C>& m) {
41  stan::math::check_nonzero_size("mean", "m", m);
42  return m.mean();
43  }
44 
45  }
46 }
47 #endif
fvar< T > sum(const std::vector< fvar< T > > &m)
Return the sum of the entries of the specified standard vector.
Definition: sum.hpp:20
bool check_nonzero_size(const char *function, const char *name, const T_y &y)
Return true if the specified matrix/vector is of non-zero size.
boost::math::tools::promote_args< T >::type mean(const std::vector< T > &v)
Returns the sample mean (i.e., average) of the coefficients in the specified standard vector...
Definition: mean.hpp:23

     [ Stan Home Page ] © 2011–2015, Stan Development Team.