mle2-class {bbmle}R Documentation

Class "mle2". Result 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("mle2", ...), but most often as the result of a call to mle2.

Slots

call:
(language) The call to mle2.
coef:
(numeric) Vector of estimated parameters.
fullcoef:
(numeric) Fixed and estimated parameters.
vcov:
(numeric matrix) Approximate variance-covariance matrix, based on the second derivative matrix at the MLE.
min:
(numeric) Minimum value of objective function = minimum negative log-likelihood.
details:
(list) Return value from optim.
minuslogl:
(function) The negative log-likelihood function.
method:
(character) The optimization method used.
formula:
(character) If a formula was specified, a character vector giving the formula and parameter specifications.

Methods

confint
signature(object = "mle2"): Confidence intervals from likelihood profiles.
show
signature(object = "mle2"): Display object briefly.
show
signature(object = "summary.mle2"): Display object briefly.
summary
signature(object = "mle2"): Generate object summary.
update
signature(object = "mle2"): Update fit.
vcov
signature(object = "mle2"): Extract variance-covariance matrix.
plot
signature(object="profile.mle2,missing"): Plot profile.

[Package bbmle version 0.9.0 Index]