Calculates the score vector (gradient of the log-likelihood) for a beta regression model.
Usage
get_beta_regression_score_cpp(X, y, params)
Arguments
- X
A numeric matrix of predictors.
- y
A numeric vector of responses (in (0, 1)).
- params
A numeric vector of parameters [beta, log_phi].
Value
A numeric vector representing the score.
