ELMT-class: ELMT class

In melt: Multiple Empirical Likelihood Tests

ELMT class

Description

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")

melt documentation built on May 31, 2023, 7:12 p.m.