Class of parametric families of probability measures.
Objects can be created by calls of the form new("ParamFamily", ...).
More frequently they are created via the generating function
ParamFamily.
name[inherited from class "ProbFamily"]
object of class "character":
name of the family.
distribution[inherited from class "ProbFamily"]
object of class "Distribution":
member of the family.
distrSymm[inherited from class "ProbFamily"]
object of class "DistributionSymmetry":
symmetry of distribution.
paramobject of class "ParamFamParameter":
parameter of the family.
fam.callobject of class "call":
call by which parametric family was produced.
makeOKParobject of class "function":
has argument param --- the (total) parameter,
returns valid parameter; used if optim resp. optimize---
try to use ``illegal'' parameter values; then makeOKPar makes
a valid parameter value out of the illegal one.
startParobject of class "function":
has argument x --- the data,
returns starting parameter for optim resp. optimize---
a starting estimator in case parameter is multivariate
or a search interval in case parameter is univariate.
modifyParamobject of class "function":
mapping from the parameter space (represented by "param")
to the distribution space (represented by "distribution").
props[inherited from class "ProbFamily"]
object of class "character":
properties of the family.
.withMDEobject of class "logical" (of length 1):
Tells R how to use the function from slot startPar in case
of a kStepEstimator --- use it as is or to compute the
starting point for a minimum distance estimator which in turn then
serves as starting point for roptest / robest
(from package ROptEst). If
TRUE (default) the latter alternative is used.
Ignored if ROptEst is not used.
.withEvalAsVarobject of class "logical" (of length 1):
Tells R whether in determining kStepEstimators one
evaluates the asymptotic variance or just produces a call to do so.
Class "ProbFamily", directly.
signature(object = "ParamFamily"):
wrapped accessor function for slot main of
slot param.
signature(object = "ParamFamily"):
wrapped accessor function for slot nuisance
of slot param.
signature(object = "ParamFamily"):
wrapped accessor function for slot fixed
of slot param.
signature(object = "ParamFamily", param = "missing"):
wrapped accessor function for slot trafo
of slot param.
signature(object = "ParamFamily"):
accessor function for slot param.
signature(object = "ParamFamily"):
accessor function for slot modifyParam.
signature(object = "ParamFamily"):
accessor function for slot fam.call.
signature(x = "ParamFamily"):
plot of slot distribution.
The return value of the plot method is an S3 object of class
c("plotInfo","DiagnInfo"), i.e., a list
containing the information needed to produce the
respective plot, which at a later stage could be used by different
graphic engines (like, e.g. ggplot) to produce the plot
in a different framework. A more detailed description will follow in
a subsequent version.
signature(object = "ParamFamily")
Detailedness of output by methods show, print is controlled
by the global option show.details to be set by
distrModoptions.
As method show is used when inspecting an object by typing the object's
name into the console, show comes without extra arguments and hence
detailedness must be controlled by global options.
Method print may be called with a (partially matched) argument
show.details, and then the global option is temporarily set to this
value.
For class ParamFamily, this becomes relevant for slot param.
For details therefore confer to ParamFamParameter-class.
Matthias Kohl Matthias.Kohl@stamats.de
Distribution-class
F1 <- new("ParamFamily") # prototype
plot(F1)
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