Stan Math Library  2.20.0
reverse mode automatic differentiation
logit.hpp
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1 #ifndef STAN_MATH_FWD_SCAL_FUN_LOGIT_HPP
2 #define STAN_MATH_FWD_SCAL_FUN_LOGIT_HPP
3 
4 #include <stan/math/fwd/meta.hpp>
5 #include <stan/math/fwd/core.hpp>
9 
10 namespace stan {
11 namespace math {
12 
13 template <typename T>
14 inline fvar<T> logit(const fvar<T>& x) {
15  if (x.val_ > 1 || x.val_ < 0)
17  else
18  return fvar<T>(logit(x.val_), x.d_ / (x.val_ - square(x.val_)));
19 }
20 } // namespace math
21 } // namespace stan
22 #endif
T d_
The tangent (derivative) of this variable.
Definition: fvar.hpp:50
const double NOT_A_NUMBER
(Quiet) not-a-number value.
Definition: constants.hpp:58
fvar< T > square(const fvar< T > &x)
Definition: square.hpp:12
T val_
The value of this variable.
Definition: fvar.hpp:45
fvar< T > logit(const fvar< T > &x)
Definition: logit.hpp:14
This template class represents scalars used in forward-mode automatic differentiation, which consist of values and directional derivatives of the specified template type.
Definition: fvar.hpp:41

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