1#ifndef STAN_MATH_PRIM_FUN_LOG_INV_LOGIT_HPP
2#define STAN_MATH_PRIM_FUN_LOG_INV_LOGIT_HPP
66 static inline auto fun(
const T& x) {
require_not_t< is_nonscalar_prim_or_rev_kernel_expression< std::decay_t< T > > > require_not_nonscalar_prim_or_rev_kernel_expression_t
Require type does not 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.
fvar< T > log_inv_logit(const fvar< T > &x)
fvar< T > log1p_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)
Return the natural logarithm of the inverse logit of the specified argument.
Structure to wrap log_inv_logit() so it can be vectorized.