distrMod (version 2.0.7)

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

x

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

• negLoglikelihood
  the (numeric) value of the negative log likelihood evaluated at the data and the given distribution
• .get.criterion.fct
  a function as described in section ``details''
• .process.meCalcRes
  an 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.

See Also

MCEstimate-class, mle-class,