| % File src/library/stats4/man/mle-class.Rd |
| % Part of the R package, https://www.R-project.org |
| % Copyright 1995-2011 R Core Team |
| % Distributed under GPL 2 or later |
| |
| \name{mle-class} |
| \docType{class} |
| \title{Class \code{"mle"} for Results of Maximum Likelihood Estimation} |
| \alias{mle-class} |
| \alias{nobs,mle-method} |
| \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("mle", \dots)}, but |
| most often as the result of a call to \code{\link{mle}}. |
| } |
| \section{Slots}{ |
| \describe{ |
| \item{\code{call}:}{Object of class \code{"language"}. |
| The call to \code{\link{mle}}.} |
| \item{\code{coef}:}{Object of class \code{"numeric"}. Estimated |
| parameters.} |
| \item{\code{fullcoef}:}{Object of class \code{"numeric"}. |
| Fixed and estimated parameters.} |
| \item{\code{vcov}:}{Object of class \code{"matrix"}. Approximate |
| variance-covariance matrix.} |
| \item{\code{min}:}{Object of class \code{"numeric"}. Minimum value |
| of objective function.} |
| \item{\code{details}:}{a \code{"\link{list}"}, as returned from |
| \code{\link{optim}}.} |
| \item{\code{minuslogl}:}{Object of class \code{"function"}. The |
| negative loglikelihood function.} |
| \item{\code{nobs}:}{\code{"\link{integer}"} of length one. The |
| number of observations (often \code{NA}, when not set in call |
| explicitly).} |
| \item{\code{method}:}{Object of class \code{"character"}. The |
| optimization method used.} |
| } |
| } |
| \section{Methods}{ |
| \describe{ |
| \item{confint}{\code{signature(object = "mle")}: Confidence |
| intervals from likelihood profiles.} |
| \item{logLik}{\code{signature(object = "mle")}: Extract maximized |
| log-likelihood.} |
| \item{profile}{\code{signature(fitted = "mle")}: Likelihood profile |
| generation.} |
| \item{nobs}{\code{signature(object = "mle")}: Number of |
| observations, here simply accessing the \code{nobs} slot mentioned above.} |
| \item{show}{\code{signature(object = "mle")}: Display object briefly.} |
| \item{summary}{\code{signature(object = "mle")}: Generate object summary.} |
| \item{update}{\code{signature(object = "mle")}: Update fit.} |
| \item{vcov}{\code{signature(object = "mle")}: Extract |
| variance-covariance matrix.} |
| } |
| } |
| \keyword{classes} |