S4 class for a summary of LM objects.

Slots

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("SummaryLM")
#> Class "SummaryLM" [package "melt"]
#> 
#> Slots:
#>                                                                        
#> Name:  coefficients    intercept    na.action         call        terms
#> Class:       matrix      logical          ANY         call        terms
#>                                                                        
#> Name:       aliased        optim         logl        loglr    statistic
#> Class:      logical         list      numeric      numeric      numeric
#>                                                                        
#> Name:            df         pval         nobs         npar     weighted
#> Class:      integer      numeric      integer      integer      logical
#>                                 
#> Name:        method      control
#> Class:    character    ControlEL
#> 
#> Known Subclasses: 
#> Class "SummaryGLM", directly
#> Class "SummaryQGLM", by class "SummaryGLM", distance 2