% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/dfr_dist.R
\name{score.dfr_dist}
\alias{score.dfr_dist}
\title{Score function (gradient of log-likelihood) for dfr_dist}
\usage{
\method{score}{dfr_dist}(model, ...)
}
\arguments{
\item{model}{A dfr_dist object}

\item{...}{Additional arguments passed to loglik}
}
\value{
A function that computes the score vector
}
\description{
Returns a function that computes the score (gradient of log-likelihood)
with respect to parameters. Uses user-provided score function if available,
otherwise falls back to numerical differentiation via numDeriv::grad.
}
