Stan Math Library  2.20.0
reverse mode automatic differentiation
log1m_inv_logit.hpp
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1 #ifndef STAN_MATH_FWD_SCAL_FUN_LOG1M_INV_LOGIT_HPP
2 #define STAN_MATH_FWD_SCAL_FUN_LOG1M_INV_LOGIT_HPP
3 
4 #include <stan/math/fwd/meta.hpp>
5 #include <stan/math/fwd/core.hpp>
7 #include <cmath>
8 
9 namespace stan {
10 namespace math {
11 
21 template <typename T>
22 inline fvar<T> log1m_inv_logit(const fvar<T>& x) {
23  using std::exp;
24  return fvar<T>(log1m_inv_logit(x.val_), -x.d_ / (1 + exp(-x.val_)));
25 }
26 
27 } // namespace math
28 } // namespace stan
29 #endif
fvar< T > log1m_inv_logit(const fvar< T > &x)
Return the natural logarithm of one minus the inverse logit of the specified argument.
T d_
The tangent (derivative) of this variable.
Definition: fvar.hpp:50
T val_
The value of this variable.
Definition: fvar.hpp:45
fvar< T > exp(const fvar< T > &x)
Definition: exp.hpp:11
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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