Automatic Differentiation
 
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◆ log1m_exp() [5/6]

template<typename T , require_not_var_matrix_t< T > * = nullptr, require_all_not_nonscalar_prim_or_rev_kernel_expression_t< T > * = nullptr>
auto stan::math::log1m_exp ( const T &  x)
inline

Vectorized version of log1m_exp().

Template Parameters
Ttype of container
Parameters
xcontainer
Returns
Natural log of (1 - exp()) applied to each value in x.

Definition at line 83 of file log1m_exp.hpp.