Last data update: 2014.03.03
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R: Class '"mle"' for Results of Maximum Likelihood Estimation
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 :a "list" , as returned from
optim .
minuslogl :Object of class "function" . The
negative loglikelihood function.
nobs :"integer" of length one. The
number of observations (often NA , when not set in call
explicitly).
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.
- nobs
signature(object = "mle") : Number of
observations, here simply accessing the nobs slot mentioned above.
- 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.
Results
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