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Stan Math Library
2.15.0
reverse mode automatic differentiation
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#include <stan/math/prim/scal/meta/return_type.hpp>
#include <stan/math/prim/scal/prob/normal_lpdf.hpp>
#include <stan/math/prim/scal/meta/OperandsAndPartials.hpp>
#include <stan/math/prim/scal/meta/scalar_seq_view.hpp>
#include <stan/math/prim/scal/err/check_consistent_sizes.hpp>
#include <stan/math/prim/scal/err/check_finite.hpp>
#include <stan/math/prim/scal/err/check_positive.hpp>
#include <stan/math/prim/scal/err/check_nonnegative.hpp>
#include <stan/math/prim/scal/fun/constants.hpp>
#include <stan/math/prim/scal/fun/value_of.hpp>
#include <stan/math/prim/scal/meta/include_summand.hpp>
#include <stan/math/prim/scal/meta/VectorBuilder.hpp>
#include <stan/math/prim/scal/meta/max_size.hpp>
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Namespaces | |
stan | |
stan::math | |
Matrices and templated mathematical functions. | |
Functions | |
template<bool propto, typename T_y , typename T_s , typename T_n , typename T_loc , typename T_scale > | |
return_type< T_y, T_s, T_loc, T_scale >::type | stan::math::normal_sufficient_lpdf (const T_y &y_bar, const T_s &s_squared, const T_n &n_obs, const T_loc &mu, const T_scale &sigma) |
The log of the normal density for the specified scalar(s) given the specified mean(s) and deviation(s). More... | |
template<typename T_y , typename T_s , typename T_n , typename T_loc , typename T_scale > | |
return_type< T_y, T_s, T_loc, T_scale >::type | stan::math::normal_sufficient_lpdf (const T_y &y_bar, const T_s &s_squared, const T_n &n_obs, const T_loc &mu, const T_scale &sigma) |