Automatic Differentiation
 
Loading...
Searching...
No Matches
log1m_inv_logit.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_FWD_FUN_LOG1M_INV_LOGIT_HPP
2#define STAN_MATH_FWD_FUN_LOG1M_INV_LOGIT_HPP
3
8#include <cmath>
9
10namespace stan {
11namespace math {
12
21template <typename T>
23 return fvar<T>(log1m_inv_logit(x.val_), -x.d_ * inv_logit(x.val_));
24}
25
26} // namespace math
27} // namespace stan
28#endif
fvar< T > inv_logit(const fvar< T > &x)
Returns the inverse logit function applied to the argument.
Definition inv_logit.hpp:20
fvar< T > log1m_inv_logit(const fvar< T > &x)
Return the natural logarithm of one minus the inverse logit of the specified argument.
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