S4 class for empirical likelihood test.
A list of the following optimization results:
parA numeric vector of the solution to the (constrained) optimization problem.
lambdaA numeric vector of the Lagrange multipliers of the dual problem corresponding to
iterationsA single integer for the number of iterations performed.
convergenceA single logical for the convergence status.
cstrA single logical for whether constrained EL optimization is performed or not.
A numeric vector of the log probabilities of the (constrained) empirical likelihood.
A single numeric of the (constrained) empirical log-likelihood.
A single numeric of the (constrained) empirical log-likelihood ratio.
A single numeric of minus twice the (constrained) empirical log-likelihood ratio with an asymptotic chi-square distribution.
A single integer for the chi-square degrees of freedom of the statistic.
A single numeric for the (calibrated) \(p\)-value of the statistic.
A single numeric for the critical value.
A numeric vector for the right-hand side of the hypothesis.
A numeric matrix for the left-hand side of the hypothesis.
A single numeric for the significance level.
A single character for the calibration method used.