Stan Math Library  2.20.0
reverse mode automatic differentiation
neg_binomial_2_log_glm_log.hpp
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1 #ifndef STAN_MATH_PRIM_MAT_PROB_NEG_BINOMIAL_2_LOG_GLM_LOG_HPP
2 #define STAN_MATH_PRIM_MAT_PROB_NEG_BINOMIAL_2_LOG_GLM_LOG_HPP
3 
6 
7 namespace stan {
8 namespace math {
9 
13 template <bool propto, typename T_y, typename T_x, typename T_alpha,
14  typename T_beta, typename T_precision>
16 neg_binomial_2_log_glm_log(const T_y &y, const T_x &x, const T_alpha &alpha,
17  const T_beta &beta, const T_precision &phi) {
18  return neg_binomial_2_log_glm_lpmf<propto, T_y, T_x, T_alpha, T_beta,
19  T_precision>(y, x, alpha, beta, phi);
20 }
21 
25 template <typename T_y, typename T_x, typename T_alpha, typename T_beta,
26  typename T_precision>
28 neg_binomial_2_log_glm_log(const T_y &y, const T_x &x, const T_alpha &alpha,
29  const T_beta &beta, const T_precision &phi) {
30  return neg_binomial_2_log_glm_lpmf<false>(y, x, alpha, beta, phi);
31 }
32 } // namespace math
33 } // namespace stan
34 #endif
return_type< T_x, T_alpha, T_beta, T_precision >::type neg_binomial_2_log_glm_lpmf(const T_y &y, const T_x &x, const T_alpha &alpha, const T_beta &beta, const T_precision &phi)
Returns the log PMF of the Generalized Linear Model (GLM) with Negative-Binomial-2 distribution and l...
fvar< T > beta(const fvar< T > &x1, const fvar< T > &x2)
Return fvar with the beta function applied to the specified arguments and its gradient.
Definition: beta.hpp:51
boost::math::tools::promote_args< double, typename scalar_type< T >::type, typename return_type< Types_pack... >::type >::type type
Definition: return_type.hpp:36
return_type< T_x, T_alpha, T_beta, T_precision >::type neg_binomial_2_log_glm_log(const T_y &y, const T_x &x, const T_alpha &alpha, const T_beta &beta, const T_precision &phi)

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