y: Observations. For an univariate distribution, a numeric vector. For a multivariate distribution, a numeric matrix with observations in rows or a numeric vector of a single observation.
f: Parameters. For the same parameters for all observations, a numeric vector. For individual parameters for each observation, a numeric matrix with rows corresponding to observations.
distr: A distribution.
param: A parametrization of the distribution.
par_link: An optional logical vector indicating whether the logarithmic/logistic link should be applied to restricted parameters in order to obtain unrestricted values. Defaults to keeping the original link for all parameters.
scaling: An optional scaling function for the score. The supported scaling functions are the unit scaling (scaling = "unit"), the inverse of the Fisher information matrix scaling (scaling = "fisher_inv"), and the inverse square root of the Fisher information matrix scaling (scaling = "fisher_inv_sqrt").
Returns
The (scaled) score.
Examples
# Score for the negative binomial distributiondistr_score(y = c(1,8,5,0,0), f = c(13.50,0.03), distr ="negbin")