Class of L2 differentiable parametric group families.
Objects can be created by calls of the form new("L2GroupParamFamily", ...).
More frequently, this class is just used as an intermediate class to classes of
specific group models like L2LocationFamily-class,
L2ScaleFamily-class, and L2LocationScaleFamily-class.
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.
param[inherited from class "ParamFamily"]
object of class "ParamFamParameter":
parameter of the family.
fam.call[inherited from class "ParamFamily"]
object of class "call":
call by which parametric family was produced.
makeOKPar[inherited from class "ParamFamily"]
object 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.
startPar[inherited from class "ParamFamily"]
object 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.
modifyParam[inherited from class "ParamFamily"]
object 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.
L2deriv[inherited from class "L2ParamFamily"]
object of class "EuclRandVariable":
L2 derivative of the family.
L2deriv.fct[inherited from class "L2ParamFamily"]
object of class "function": mapping from
the parameter space (argument param of class
"ParamFamParameter") to a mapping from observation x to the
value of the L2derivative; L2deriv.fct is then used from observation
x to value of the L2derivative; L2deriv.fct is used by
modifyModel to move the L2deriv according to a change in the
parameter
L2derivSymm[inherited from class "L2ParamFamily"]
object of class "FunSymmList":
symmetry of the maps included in L2deriv.
L2derivDistr[inherited from class "L2ParamFamily"]
object of class "UnivarDistrList":
list which includes the distribution of L2deriv.
L2derivDistrSymm[inherited from class "L2ParamFamily"]
object of class "DistrSymmList":
symmetry of the distributions included in L2derivDistr.
FisherInfo.fct[inherited from class "L2ParamFamily"]
object of class "function":
mapping from the parameter space (argument param of class
"ParamFamParameter") to the set of positive
semidefinite matrices; FisherInfo.fct is used by modifyModel to
move the Fisher information according to a change in the parameter
FisherInfo[inherited from class "L2ParamFamily"]
object of class "PosDefSymmMatrix":
Fisher information of the family.
LogDerivobject of class "function": has argument x;
the negative logarithmic derivative of the density of the model distribution at
the "standard" parameter value.
Class "L2ParamFamily", directly.
Class "ParamFamily", by class "L2ParamFamily".
Class "ProbFamily", by class "ParamFamily".
signature(object = "L2GroupParamFamily"):
accessor function for slot LogDeriv.
signature(object = "L2GroupParamFamily"):
replacement function for slot LogDeriv.
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
L2ParamFamily-class, ParamFamily-class
F1 <- new("L2GroupParamFamily")
plot(F1)
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