mle-class {stats4}R Documentation

Class "mle" for Results of Maximum Likelihood Estimation

Description

This class encapsulates results of a generic maximum likelihood procedure.

Objects from the Class

Objects can be created by calls of the form new("mle", ...), but most often as the result of a call to mle.

Slots

call:
Object of class "language". The call to mle.
coef:
Object of class "numeric". Estimated parameters.
fullcoef:
Object of class "numeric". Fixed and estimated parameters.
vcov:
Object of class "matrix". Approximate variance-covariance matrix.
min:
Object of class "numeric". Minimum value of objective function.
details:
Object of class "list". List returned from optim.
minuslogl:
Object of class "function". The negative loglikelihood function.
method:
Object of class "character". The optimization method used.

Methods

confint
signature(object = "mle"): Confidence intervals from likelihood profiles.
logLik
signature(object = "mle"): Extract maximized log-likelihood.
profile
signature(fitted = "mle"): Likelihood profile generation.
show
signature(object = "mle"): Display object briefly.
summary
signature(object = "mle"): Generate object summary.
update
signature(object = "mle"): Update fit.
vcov
signature(object = "mle"): Extract variance-covariance matrix.

[Package stats4 version 2.5.0 Index]