ELMT class — ELMT-class • melt

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