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Stan Math Library
2.9.0
reverse mode automatic differentiation
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#include <stan/math/fwd/core.hpp>
#include <stan/math/prim/scal/fun/value_of.hpp>
#include <stan/math/prim/scal/fun/log_mix.hpp>
#include <boost/math/tools/promotion.hpp>
#include <cmath>
Go to the source code of this file.
Namespaces | |
stan | |
stan::math | |
Matrices and templated mathematical functions. | |
Functions | |
template<typename T_theta , typename T_lambda1 , typename T_lambda2 , int N> | |
void | stan::math::log_mix_partial_helper (const T_theta &theta, const T_lambda1 &lambda1, const T_lambda2 &lambda2, typename boost::math::tools::promote_args< T_theta, T_lambda1, T_lambda2 >::type(&partials_array)[N]) |
template<typename T > | |
fvar< T > | stan::math::log_mix (const fvar< T > &theta, const fvar< T > &lambda1, const fvar< T > &lambda2) |
Return the log mixture density with specified mixing proportion and log densities and its derivative at each. More... | |
template<typename T > | |
fvar< T > | stan::math::log_mix (const fvar< T > &theta, const fvar< T > &lambda1, const double lambda2) |
template<typename T > | |
fvar< T > | stan::math::log_mix (const fvar< T > &theta, const double lambda1, const fvar< T > &lambda2) |
template<typename T > | |
fvar< T > | stan::math::log_mix (const double theta, const fvar< T > &lambda1, const fvar< T > &lambda2) |
template<typename T > | |
fvar< T > | stan::math::log_mix (const fvar< T > &theta, const double lambda1, const double lambda2) |
template<typename T > | |
fvar< T > | stan::math::log_mix (const double theta, const fvar< T > &lambda1, const double lambda2) |
template<typename T > | |
fvar< T > | stan::math::log_mix (const double theta, const double lambda1, const fvar< T > &lambda2) |