Automatic Differentiation
 
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logit.hpp
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1#ifndef STAN_MATH_REV_FUN_LOGIT_HPP
2#define STAN_MATH_REV_FUN_LOGIT_HPP
3
8
9namespace stan {
10namespace math {
11
19template <typename T, require_stan_scalar_or_eigen_t<T>* = nullptr>
20inline auto logit(const var_value<T>& u) {
21 auto denom = to_arena(1.0 / as_array_or_scalar(u.val() - square(u.val())));
22 return make_callback_var(logit(u.val()), [u, denom](auto& vi) mutable {
23 as_array_or_scalar(u.adj()) += as_array_or_scalar(vi.adj()) * denom;
24 });
25}
26
27} // namespace math
28} // namespace stan
29#endif
fvar< T > logit(const fvar< T > &x)
Definition logit.hpp:14
T as_array_or_scalar(T &&v)
Returns specified input value.
var_value< plain_type_t< T > > make_callback_var(T &&value, F &&functor)
Creates a new var initialized with a callback_vari with a given value and reverse-pass callback funct...
arena_t< T > to_arena(const T &a)
Converts given argument into a type that either has any dynamic allocation on AD stack or schedules i...
Definition to_arena.hpp:25
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 ...