mle-class {stats4} | R Documentation |
This 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
:"language"
.
The call to mle
.coef
:"numeric"
. Estimated
parameters.fullcoef
:"numeric"
.
Fixed and estimated parameters.vcov
:"matrix"
. Approximate
variance-covariance matrix.min
:"numeric"
. Minimum value
of objective function.details
:"list"
. List returned
from optim
.minuslogl
:"function"
. The
negative loglikelihood function.method
:"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")
: Display object briefly.signature(object = "mle")
: Generate object summary.signature(object = "mle")
: Update fit.signature(object = "mle")
: Extract
variance-covariance matrix.