S4 class for empirical likelihood multiple tests.

## Slots

`estimates`

A list of numeric vectors of the estimates of the linear hypotheses.

`statistic`

A numeric vector of minus twice the (constrained) empirical log-likelihood ratios with asymptotic chi-square distributions.

`df`

An integer vector of the marginal degrees of freedom of the statistic.

`pval`

A numeric vector for the multiplicity adjusted \(p\)-values.

`cv`

A single numeric for the multiplicity adjusted critical value.

`rhs`

A numeric vector for the right-hand sides of the hypotheses.

`lhs`

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

`alpha`

A single numeric for the overall significance level.

`calibrate`

A single character for the calibration method used.

`weights`

A numeric vector of the re-scaled weights used for the model fitting.

`coefficients`

A numeric vector of the maximum empirical likelihood estimates of the parameters.

`method`

A single character for the method dispatch in internal functions.

`data`

A numeric matrix of the data for the model fitting.

`control`

An object of class ControlEL constructed by

`el_control()`

.

## Examples

```
showClass("ELMT")
#> Class "ELMT" [package "melt"]
#>
#> Slots:
#>
#> Name: estimates statistic df pval cv
#> Class: list numeric integer numeric numeric
#>
#> Name: rhs lhs alpha calibrate weights
#> Class: numeric matrix numeric character numeric
#>
#> Name: coefficients method data control
#> Class: numeric character ANY ControlEL
```