S4 class for empirical likelihood test.

## Slots

`optim`

A list of the following optimization results:

`par`

A numeric vector of the solution to the (constrained) optimization problem.`lambda`

A numeric vector of the Lagrange multipliers of the dual problem corresponding to`par`

.`iterations`

A single integer for the number of iterations performed.`convergence`

A single logical for the convergence status.`cstr`

A single logical for whether constrained EL optimization is performed or not.

`logp`

A numeric vector of the log probabilities of the (constrained) empirical likelihood.

`logl`

A single numeric of the (constrained) empirical log-likelihood.

`loglr`

A single numeric of the (constrained) empirical log-likelihood ratio.

`statistic`

A single numeric of minus twice the (constrained) empirical log-likelihood ratio with an asymptotic chi-square distribution.

`df`

A single integer for the chi-square degrees of freedom of the statistic.

`pval`

A single numeric for the (calibrated) \(p\)-value of the statistic.

`cv`

A single numeric for the critical value.

`rhs`

A numeric vector for the right-hand side of the hypothesis.

`lhs`

A numeric matrix for the left-hand side of the hypothesis.

`alpha`

A single numeric for the significance level.

`calibrate`

A single character for the calibration method used.

`control`

An object of class ControlEL constructed by

`el_control()`

.