SummaryGLM-class: SummaryGLM class

In melt: Multiple Empirical Likelihood Tests

SummaryGLM class

Description

S4 class for a summary of GLM objects. It inherits from SummaryLM class.

Slots

family

A family object used.

dispersion

A single numeric for the estimated dispersion parameter.

coefficients

A numeric matrix of the results of significance tests.

intercept

A single logical for whether the given model has an intercept term or not.

na.action

Information returned by model.frame on the special handling of NAs.

call

A matched call.

terms

A terms object used.

aliased

A named logical vector showing if the original coefficients are aliased.

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.

logl

A single numeric of the empirical log-likelihood.

loglr

A single numeric of the empirical log-likelihood ratio.

statistic

A single numeric of minus twice the (constrained) empirical log-likelihood ratio for the overall test.

df

A single integer for the degrees of freedom of the statistic.

pval

A single numeric for the p-value of the statistic.

nobs

A single integer for the number of observations.

npar

A single integer for the number of parameters.

weighted

A single logical for whether the data are weighted or not.

method

A single character for the method dispatch in internal functions.

control

An object of class ControlEL constructed by el_control().

Examples

showClass("SummaryGLM")

melt documentation built on May 29, 2024, 10:21 a.m.