Automatic Differentiation
 
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logit.hpp
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1#ifndef STAN_MATH_PRIM_FUN_LOGIT_HPP
2#define STAN_MATH_PRIM_FUN_LOGIT_HPP
3
9#include <cmath>
10
11namespace stan {
12namespace math {
13
46template <typename T, require_floating_point_t<T>* = nullptr>
47inline double logit(const T u) {
48 return std::log(u / (1 - u));
49}
50
57template <typename T, require_integral_t<T>* = nullptr>
58inline double logit(const T u) {
59 return logit(static_cast<double>(u));
60}
61
65struct logit_fun {
73 template <typename T>
74 static inline auto fun(const T& x) {
75 return logit(x);
76 }
77};
78
89template <typename Container, require_ad_container_t<Container>* = nullptr>
90inline auto logit(const Container& x) {
92}
93
105template <typename Container,
107inline auto logit(const Container& x) {
108 return make_holder(
109 [](const auto& v_ref) {
110 return apply_vector_unary<ref_type_t<Container>>::apply(
111 v_ref,
112 [](const auto& v) { return (v.array() / (1 - v.array())).log(); });
113 },
114 to_ref(x));
115}
116
117} // namespace math
118} // namespace stan
119
120#endif
require_t< container_type_check_base< is_container, base_type_t, TypeCheck, Check... > > require_container_bt
Require type satisfies is_container.
fvar< T > logit(const fvar< T > &x)
Definition logit.hpp:14
auto make_holder(const F &func, Args &&... args)
Constructs an expression from given arguments using given functor.
Definition holder.hpp:352
ref_type_t< T && > to_ref(T &&a)
This evaluates expensive Eigen expressions.
Definition to_ref.hpp:17
constexpr decltype(auto) apply(F &&f, Tuple &&t, PreArgs &&... pre_args)
Definition apply.hpp:52
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Base template class for vectorization of unary scalar functions defined by a template class F to a sc...
static auto fun(const T &x)
Return the log odds of the specified argument.
Definition logit.hpp:74
Structure to wrap logit() so it can be vectorized.
Definition logit.hpp:65