| mle-class {stats4} | R Documentation |
"mle" for Results of Maximum Likelihood EstimationThis class encapsulates results of a generic maximum likelihood procedure.
Objects can be created by calls of the form new("mle", ...), but
most often as the result of a call to mle.
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: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.
signature(object = "mle"): Confidence
intervals from likelihood profiles.
signature(object = "mle"): Extract maximized
log-likelihood.
signature(fitted = "mle"): Likelihood profile
generation.
signature(object = "mle"): Number of
observations, here simply accessing the nobs slot mentioned above.
signature(object = "mle"): Display object briefly.
signature(object = "mle"): Generate object summary.
signature(object = "mle"): Update fit.
signature(object = "mle"): Extract
variance-covariance matrix.