1#ifndef STAN_MATH_PRIM_FUN_INV_LOGIT_HPP
2#define STAN_MATH_PRIM_FUN_INV_LOGIT_HPP
54 double exp_a =
exp(a);
58 return exp_a / (1 + exp_a);
72 static inline auto fun(
const T& x) {
require_all_not_t< is_nonscalar_prim_or_rev_kernel_expression< std::decay_t< Types > >... > require_all_not_nonscalar_prim_or_rev_kernel_expression_t
Require none of the types satisfy is_nonscalar_prim_or_rev_kernel_expression.
require_not_t< is_var_matrix< std::decay_t< T > > > require_not_var_matrix_t
Require type does not satisfy is_var_matrix.
const double LOG_EPSILON
The natural logarithm of machine precision , .
fvar< T > inv_logit(const fvar< T > &x)
Returns the inverse logit function applied to the argument.
fvar< T > inv(const fvar< T > &x)
fvar< T > exp(const fvar< T > &x)
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)
Structure to wrap inv_logit() so that it can be vectorized.