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.frameon the special handling of- NAs.
- call
- A matched call. 
- terms
- A - termsobject used.
- aliased
- A named logical vector showing if the original coefficients are aliased. 
- optim
- A list of the following optimization results: - parA numeric vector of the solution to the (constrained) optimization problem.
- lambdaA numeric vector of the Lagrange multipliers of the dual problem corresponding to- par.
- iterationsA single integer for the number of iterations performed.
- convergenceA single logical for the convergence status.
- cstrA 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
