mle-class | 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"
.
Full parameter set of fixed and estimated parameters.
fixed
:Object of class "numeric"
.
Fixed parameter values (NA
for non-fixed 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.
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.
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