Class for L2 differentiable parametric regression-type families.
Objects can be created by calls of the form new("L2RegTypeFamily", ...)
.
More frequently they are created via the generating function
L2RegTypeFamily
.
L2deriv
:Object of class "EuclRandVarList"
: L2 derivative.
ErrorL2deriv
:Object of class "EuclRandVarList"
:
L2 derivative of ErrorDistr
.
ErrorL2derivSymm
:Object of class "FunSymmList"
:
symmetry of ErrorL2deriv
.
ErrorL2derivDistr
:Object of class "DistrList"
:
distribution of ErrorL2deriv
.
ErrorL2derivDistrSymm
:Object of class "DistrSymmList"
:
symmetry of ErrorL2derivDistr
.
FisherInfo
:Object of class "PosDefSymmMatrix"
:
Fisher information.
ErrorDistr
:Object of class "Distribution"
:
error distribution.
ErrorSymm
:Object of class "DistributionSymmetry"
:
symmetry of ErrorDistr
.
RegDistr
:Object of class "Distribution"
:
regressor distribution.
RegSymm
:Object of class "DistributionSymmetry"
:
symmetry of RegDistr
.
Regressor
:Object of class "EuclRandVariable"
:
regressor.
param
:Object of class "ParamFamParameter"
:
parameter of the family.
props
:Object of class "character"
:
properties of the family.
name
:Object of class "character"
:
name of the family.
distribution
:Object of class "CondDistribution"
:
conditional distribution given the regressor.
distrSymm
:Object of class "DistributionSymmetry"
:
symmetry of distribution
.
Class "RegTypeFamily"
, directly.
Class "ParamFamily"
, by class "RegTypeFamily"
.
Class "ProbFamily"
, by class "RegTypeFamily"
.
signature(object = "L2RegTypeFamily")
:
acessor function for slot L2deriv
signature(object = "L2RegTypeFamily")
:
acessor function for slot FisherInfo
signature(object = "L2RegTypeFamily")
:
acessor function for slot ErrorL2deriv
.
signature(object = "L2RegTypeFamily")
:
acessor function for slot ErrorL2derivDistr
.
signature(object = "L2RegTypeFamily")
:
acessor function for slot ErrorL2derivSymm
signature(object = "L2RegTypeFamily")
:
acessor function for slot ErrorL2derivDistrSymm
signature(object = "L2RegTypeFamily")
:
check centering of L2deriv
and compute precision
of Fisher information.
signature(IC = "IC", L2Fam = "missing")
:
check centering and Fisher consistency of IC
assuming the
L2-differentiable regression-type family which can be created via
the slot CallL2Fam
of IC
.
signature(IC = "IC", L2Fam = "L2RegTypeFamily")
:
check centering and Fisher consistency of IC
assuming the
L2-differentiable regression-type family L2Fam
.
signature(object = "L2RegTypeFamily", fun = "EuclRandVariable", cond = "missing")
:
expectation of fun
under object
.
signature(object = "L2RegTypeFamily", fun = "EuclRandMatrix", cond = "missing")
:
expectation of fun
under object
.
signature(object = "L2RegTypeFamily", fun = "EuclRandVarList", cond = "missing")
:
expectation of fun
under object
.
signature(object = "L2RegTypeFamily")
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
# NOT RUN {
new("L2RegTypeFamily")
# }
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