S4 class for a summary of LM objects.
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 NA
s.
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()
.
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