S4 class for empirical likelihood multiple tests.
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()
.
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