helper functions for mceCalc and mleCalc
meRes(x, estimate, criterion.value, param, crit.fct, method = "explicit solution",
crit.name = "Maximum Likelihood", Infos, warns = "", startPar = NULL,
optReturn = NULL)
get.criterion.fct(theta, Data, ParamFam, criterion.ff, fun, ...)
## S4 method for signature 'numeric'
samplesize(object)x |
numeric; the data at which to evaluate the estimate |
estimate |
numeric; the estimate |
criterion.value |
numeric; the value of the criterion |
param |
object of class |
crit.fct |
a function to fill slot |
method |
character; describes how the estimate was obtained |
crit.name |
character; name of the criterion |
Infos |
optional matrix of characters in two columns; information to be attached to the estimate |
warns |
collected warnings in optimization |
samplesize |
numeric; the sample size at which the estimator was evaluated |
theta |
the parameter value as named numeric vector |
Data |
numeric; the data at which to evaluate the MCE |
ParamFam |
an object of class |
criterion.ff |
the criterion function used in the MCE |
fun |
wrapper to the criterion function used in the MCE (with certain checking whether parameter value is permitted and possibly penalizing if not; see code to , for example.) |
startPar |
value of argument |
optReturn |
object of class |
... |
further arguments to be passed
to |
object |
numeric; the data at which to evaluate the estimate |
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;
samplesize determines the samplesize of argument object,i.e.;
if object has an attribute dim, it returns dim(object)[2],
else length(object).
meRes |
a list of prescribed structure to be digested in functions
|
get.criterion.fct |
a function; see details below; |
samplesize |
numeric |
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
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