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◆ poisson_log_glm_lpmf() [1/3]

template<bool propto, typename T_y_cl , typename T_x_cl , typename T_alpha_cl , typename T_beta_cl , require_all_prim_or_rev_kernel_expression_t< T_y_cl, T_x_cl, T_alpha_cl, T_beta_cl > * = nullptr>
return_type_t< T_x_cl, T_alpha_cl, T_beta_cl > stan::math::poisson_log_glm_lpmf ( const T_y_cl &  y,
const T_x_cl &  x,
const T_alpha_cl &  alpha,
const T_beta_cl &  beta 
)

Returns the log PMF of the Generalized Linear Model (GLM) with Poisson distribution and log link function.

This is an overload of the GLM in prim/prob/poisson_log_glm_lpmf.hpp that is implemented in OpenCL.

Template Parameters
T_y_cltype of independent variable; this can be a matrix_cl vector of intercepts or a single value (wich will be broadcast - used for all instances);
T_x_cltype of the design matrix
T_alpha_cltype of the intercept(s); this can be a matrix_cl vector (of the same length as y) of intercepts or a single value (for models with constant intercept);
T_beta_cltype of the weight vector; this can also be a single value;
Parameters
ypositive integer scalar or vector parameter on OpenCL device. If it is a scalar it will be broadcast - used for all instances.
xdesign matrix on OpenCL device. This overload does not support broadcasting of a row vector x!
alphaintercept (in log odds)
betaweight vector
Returns
log probability or log sum of probabilities
Exceptions
std::domain_errorif x, beta or alpha is infinite.
std::domain_errorif y is negative.
std::invalid_argumentif container sizes mismatch.

Definition at line 54 of file poisson_log_glm_lpmf.hpp.