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 tomle
.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 fromoptim
.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.