SummaryEL class

S4 class for a summary of EL objects.

Slots

optim

A list of the following optimization results:

• par A numeric vector of the specified parameters.

• 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 empirical log-likelihood ratio with an asymptotic chi-square distribution.

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.

coefficients

A numeric vector of the maximum empirical likelihood estimates of the parameters.

method

A single character for the method dispatch in internal functions.

control

An object of class ControlEL constructed by el_control().

Examples

showClass("SummaryEL")
#> Class "SummaryEL" [package "melt"]
#> 
#> Slots:
#>                                                                        
#> Name:         optim         logl        loglr    statistic           df
#> Class:         list      numeric      numeric      numeric      integer
#>                                                                        
#> Name:          pval         nobs         npar     weighted coefficients
#> Class:      numeric      integer      integer      logical      numeric
#>                                 
#> Name:        method      control
#> Class:    character    ControlEL