Automatic Differentiation
 
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logit.hpp
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1#ifndef STAN_MATH_FWD_FUN_LOGIT_HPP
2#define STAN_MATH_FWD_FUN_LOGIT_HPP
3
9
10namespace stan {
11namespace math {
12
13template <typename T>
14inline 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}
21} // namespace math
22} // namespace stan
23#endif
static constexpr double NOT_A_NUMBER
(Quiet) not-a-number value.
Definition constants.hpp:56
fvar< T > logit(const fvar< T > &x)
Definition logit.hpp:14
fvar< T > square(const fvar< T > &x)
Definition square.hpp:12
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Scalar val_
The value of this variable.
Definition fvar.hpp:49
Scalar d_
The tangent (derivative) of this variable.
Definition fvar.hpp:61
This template class represents scalars used in forward-mode automatic differentiation,...
Definition fvar.hpp:40