Stan Math Library
5.0.0
Automatic Differentiation
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#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/constants.hpp>
#include <stan/math/prim/fun/log1m.hpp>
#include <stan/math/prim/fun/log.hpp>
#include <stan/math/prim/fun/log_diff_exp.hpp>
#include <stan/math/prim/fun/log_sum_exp.hpp>
#include <stan/math/prim/fun/sqrt.hpp>
#include <stan/math/prim/fun/square.hpp>
#include <stan/math/prim/functor/apply_scalar_unary.hpp>
#include <cmath>
Go to the source code of this file.
Classes | |
struct | stan::math::std_normal_log_qf_fun |
Structure to wrap std_normal_log_qf() so it can be vectorized. More... | |
Namespaces | |
namespace | stan |
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation. | |
namespace | stan::math |
Matrices and templated mathematical functions. | |
Functions | |
double | stan::math::std_normal_log_qf (double log_p) |
The inverse of the unit normal cumulative distribution function evaluated at the log probability. | |
template<typename T , require_all_not_nonscalar_prim_or_rev_kernel_expression_t< T > * = nullptr, require_not_var_matrix_t< T > * = nullptr> | |
auto | stan::math::std_normal_log_qf (const T &x) |
A vectorized version of std_normal_log_qf() that accepts std::vectors, Eigen Matrix/Array objects, or expressions, and containers of these. | |