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sd.hpp
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1 #ifndef STAN_MATH_PRIM_MAT_FUN_SD_HPP
2 #define STAN_MATH_PRIM_MAT_FUN_SD_HPP
3
4 #include <stan/math/prim/arr/err/check_nonzero_size.hpp>
5 #include <stan/math/prim/mat/fun/Eigen.hpp>
6 #include <stan/math/prim/mat/fun/variance.hpp>
7 #include <boost/math/tools/promotion.hpp>
8 #include <vector>
9
10 namespace stan {
11 namespace math {
12
19 template <typename T>
20 inline
21 typename boost::math::tools::promote_args<T>::type
22 sd(const std::vector<T>& v) {
23 check_nonzero_size("sd", "v", v);
24 if (v.size() == 1) return 0.0;
25 return sqrt(variance(v));
26 }
27
34 template <typename T, int R, int C>
35 inline
36 typename boost::math::tools::promote_args<T>::type
37 sd(const Eigen::Matrix<T, R, C>& m) {
38 check_nonzero_size("sd", "m", m);
39 if (m.size() == 1) return 0.0;
40 return sqrt(variance(m));
41 }
42
43 }
44 }
45 #endif
stan::math::sqrt
fvar< T > sqrt(const fvar< T > &x)
Definition: sqrt.hpp:14
variance.hpp
stan
Definition: log_sum_exp.hpp:8
stan::math::check_nonzero_size
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.
Definition: check_nonzero_size.hpp:29
stan::math::sd
boost::math::tools::promote_args< T >::type sd(const std::vector< T > &v)
Returns the unbiased sample standard deviation of the coefficients in the specified column vector...
Definition: sd.hpp:22
stan::math::variance
boost::math::tools::promote_args< T >::type variance(const std::vector< T > &v)
Returns the sample variance (divide by length - 1) of the coefficients in the specified standard vect...
Definition: variance.hpp:24
Eigen.hpp
check_nonzero_size.hpp

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