https://github.com/cran/bbmle
Tip revision: c5ab0f0d83c162db9a614a6f8cc507f8a9190546 authored by Ben Bolker on 14 September 2011, 00:00:00 UTC
version 1.0.3
version 1.0.3
Tip revision: c5ab0f0
mle-class.Rd
\name{mle2-class}
\docType{class}
\alias{mle2-class}
\alias{coef,mle2-method}
\alias{confint,mle2-method}
\alias{show,mle2-method}
\alias{slice,mle2-method}
\alias{summary,mle2-method}
\alias{update,mle2-method}
\alias{vcov,mle2-method}
\alias{deviance,mle2-method}
\alias{coerce,mle,mle2-method}
\alias{formula,mle2-method}
\alias{stdEr}
\alias{stdEr,mle2-method}
\title{Class "mle2". Result of Maximum Likelihood Estimation.}
\description{This class encapsulates results of a generic maximum
likelihood procedure.}
\section{Objects from the Class}{
Objects can be created by calls of the form \code{new("mle2", \dots)}, but
most often as the result of a call to \code{\link{mle2}}.
}
\section{Slots}{
\describe{
\item{\code{call}:}{(language) The call to \code{\link{mle2}}.}
\item{\code{call.orig}:}{(language) The call to \code{\link{mle2}},
saved in its original form (i.e. without data arguments
evaluated).}
\item{\code{coef}:}{(numeric) Vector of estimated parameters.}
\item{\code{data}:}{(data frame or list) Data with which to evaluate the negative log-likelihood function}
\item{\code{fullcoef}:}{(numeric) Fixed and estimated parameters.}
\item{\code{vcov}:}{(numeric matrix) Approximate variance-covariance
matrix, based on the second derivative matrix at the MLE.}
\item{\code{min}:}{(numeric) Minimum value of objective function =
minimum negative log-likelihood.}
\item{\code{details}:}{(list) Return value from \code{\link{optim}}.}
\item{\code{minuslogl}:}{(function) The negative log-likelihood
function.}
\item{\code{optimizer}:}{(character) The optimizing function used.}
\item{\code{method}:}{(character) The optimization method used.}
\item{\code{formula}:}{(character) If a formula was specified, a
character vector giving the formula and parameter specifications.}
}
}
\section{Methods}{
\describe{
\item{confint}{\code{signature(object = "mle2")}: Confidence
intervals from likelihood profiles.}
\item{show}{\code{signature(object = "mle2")}: Display object
briefly.}
\item{show}{\code{signature(object = "summary.mle2")}: Display object briefly.}
\item{summary}{\code{signature(object = "mle2")}: Generate object summary.}
\item{update}{\code{signature(object = "mle2")}: Update fit.}
\item{vcov}{\code{signature(object = "mle2")}: Extract
variance-covariance matrix.}
\item{formula}{\code{signature(object="mle2")}: Extract formula}
\item{plot}{\code{signature(object="profile.mle2,missing")}: Plot
profile. }
}
}
\keyword{classes}