| 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.