Description Objects from the Class Slots Extends Methods See Also
Results from the Klinkenberg inference method
Objects can be created by calls of the form new("LBInferenceMLK", ...)
.
~~ describe objects here ~~
r0
:Object of class "numeric"
r0.ci
:Object of class "numeric"
containing the
confindence intervall of r0
cov
:Object of class "matrix"
giving the
covariance matrix of all parameters, i.e. this is the inverse
negative Hessian matrix evaluated at the MLE.
corr
:Object of class "numeric"
~~
paramHat
:Object of class "numeric"
containing
the MLE of all parameters~
paramSe
:Object of class "numeric"
containing
the standard error of all parameters
aic
:Object of class "numeric"
AIC of the fitted model
loglik
:Object of class "numeric"
containing
the loglik at the MLE
Class "LBInferenceML"
, directly.
signature(object = "LBInferenceMLK")
: get all
slots
signature(object = "LBInferenceMLK")
: set a
list of slots
signature(object = "LBInferenceMLK")
: as usual
signature(object = "LBInferenceMLK")
: as usual
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