internal_mlehelpers_for_distrMod: Internal helper functions for treating MCEstimators in package distrMod

Description

These functions are used internally by functions MCEstimator and MLEstimator in package ``distrMod''.

Usage

.negLoglikelihood(x, Distribution, ...)
.process.meCalcRes(res, PFam, trafo, res.name, call, asvar.fct, ...)

Arguments

numeric; the data at which to evaluate the negative log likelihood

Distribution

an object of class Distribution; the distribution at which to evaluate the negative log likelihood

...

in case of .negLoglikelihood simply to be able to use the general calling for the criterion function; in case of .process.meCalcRes further arguments to be passed to function

res

a list; the return value of mleCalc or mceCalc

PFam

an object of class ParamFamily; the parametric family at which to evaluate the MCE

trafo

the trafo matrix or a function returning it or NULL

res.name

the name of the corresponding estimator

call

the original call with which the estimate was produced

asvar.fct

a function producing an asymptotic covariance matrix or NULL.

Value

negLoglikelihoodthe (numeric) value of the negative log likelihood evaluated at the data and the given distribution
.get.criterion.fcta function as described in section ``details''
.process.meCalcResan object of class MCEstimate

concept

utilities

Details

.negLoglikelihood uses the log -argument of the corresponding d-slot of the distribution if available; else produces log(d(Distribution)(x)). .get.criterion.fct produces a function criterion.fct to fill slot minuslogl when an object of class MCEstimate is coerced to class mle (from package stats4); this way we may use profiling methods introduced there also for objects of our classes. More specifically, we produce a function where all coordinates/components of theta appear as separate named arguments, which then calls fun with these separate arguments again stacked to one (named) vector argument; .process.meCalcRes processes the resulting return value list of methods mceCalc and mleCalc to give a corresponding object of class MCEstimate.

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