Stan Math Library  2.9.0
reverse mode automatic differentiation
corr_constrain.hpp
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1 #ifndef STAN_MATH_PRIM_SCAL_FUN_CORR_CONSTRAIN_HPP
2 #define STAN_MATH_PRIM_SCAL_FUN_CORR_CONSTRAIN_HPP
3 
5 #include <cmath>
6 
7 namespace stan {
8 
9  namespace math {
10 
23  template <typename T>
24  inline
25  T corr_constrain(const T x) {
26  return tanh(x);
27  }
28 
41  template <typename T>
42  inline
43  T corr_constrain(const T x, T& lp) {
44  using stan::math::log1m;
45  T tanh_x = tanh(x);
46  lp += log1m(tanh_x * tanh_x);
47  return tanh_x;
48  }
49 
50  }
51 
52 }
53 
54 #endif
fvar< T > tanh(const fvar< T > &x)
Definition: tanh.hpp:14
fvar< T > log1m(const fvar< T > &x)
Definition: log1m.hpp:16
T corr_constrain(const T x)
Return the result of transforming the specified scalar to have a valid correlation value between -1 a...

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