Automatic Differentiation
 
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gaussian_dlm_obs_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_GAUSSIAN_DLM_OBS_LOG_HPP
2#define STAN_MATH_PRIM_PROB_GAUSSIAN_DLM_OBS_LOG_HPP
3
7
8namespace stan {
9namespace math {
13template <bool propto, typename T_y, typename T_F, typename T_G, typename T_V,
14 typename T_W, typename T_m0, typename T_C0>
16 const T_y& y, const T_F& F, const T_G& G, const T_V& V, const T_W& W,
17 const T_m0& m0, const T_C0& C0) {
18 return gaussian_dlm_obs_lpdf<propto>(y, F, G, V, W, m0, C0);
19}
20
24template <typename T_y, typename T_F, typename T_G, typename T_V, typename T_W,
25 typename T_m0, typename T_C0>
27 const T_y& y, const T_F& F, const T_G& G, const T_V& V, const T_W& W,
28 const T_m0& m0, const T_C0& C0) {
29 return gaussian_dlm_obs_lpdf<>(y, F, G, V, W, m0, C0);
30}
31
32} // namespace math
33} // namespace stan
34#endif
return_type_t< T_y, T_F, T_G, T_V, T_W, T_m0, T_C0 > gaussian_dlm_obs_log(const T_y &y, const T_F &F, const T_G &G, const T_V &V, const T_W &W, const T_m0 &m0, const T_C0 &C0)
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition fvar.hpp:9