mle-class               package: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.

