Generic function for the computation of optimally robust regression-type ICs in case of infinitesimal robust models. This function is rarely called directly.
getInfRobRegTypeIC(ErrorL2deriv, Regressor, risk, neighbor, ...)# S4 method for UnivariateDistribution,UnivariateDistribution,asBias,ContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,UnivariateDistribution,asBias,Av1CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,UnivariateDistribution,asBias,Av1CondTotalVarNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,Distribution,asBias,Av2CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,Distribution,asCov,ContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo)
# S4 method for UnivariateDistribution,UnivariateDistribution,asCov,TotalVarNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo)
# S4 method for UnivariateDistribution,Distribution,asCov,CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo)
# S4 method for UnivariateDistribution,Distribution,asCov,CondTotalVarNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo)
# S4 method for UnivariateDistribution,Distribution,asCov,Av1CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo)
# S4 method for UnivariateDistribution,Distribution,asCov,Av2CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo)
# S4 method for UnivariateDistribution,Distribution,asCov,Av1CondTotalVarNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo)
# S4 method for UnivariateDistribution,Distribution,asGRisk,ContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,Distribution,asGRisk,Av1CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,Distribution,asGRisk,Av2CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,Distribution,asGRisk,Av1CondTotalVarNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,MultivariateDistribution,asBias,ContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,MultivariateDistribution,asBias,Av1CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,MultivariateDistribution,asBias,Av1CondTotalVarNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for RealRandVariable,Distribution,asBias,ContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorSymm, RegSymm,
ErrorDistr, ErrorL2derivSymm, ErrorL2derivDistrSymm, Finfo, trafo,
upper, z.start, A.start, maxiter, tol, warn)
# S4 method for RealRandVariable,Distribution,asBias,Av1CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorSymm, RegSymm,
ErrorDistr, ErrorL2derivSymm, ErrorL2derivDistrSymm, Finfo, trafo,
upper, z.start, A.start, maxiter, tol, warn)
# S4 method for RealRandVariable,Distribution,asCov,ContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorDistr, Finfo, trafo)
# S4 method for RealRandVariable,Distribution,asCov,Av1CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorDistr, Finfo, trafo)
# S4 method for RealRandVariable,Distribution,asGRisk,ContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorSymm, RegSymm,
ErrorDistr, ErrorL2derivSymm, ErrorL2derivDistrSymm, Finfo, trafo,
upper, z.start, A.start, maxiter, tol, warn)
# S4 method for RealRandVariable,Distribution,asGRisk,Av1CondContNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorSymm, RegSymm,
ErrorDistr, ErrorL2derivSymm, ErrorL2derivDistrSymm, Finfo, trafo,
upper, z.start, A.start, maxiter, tol, warn)
# S4 method for UnivariateDistribution,UnivariateDistribution,asUnOvShoot,UncondNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
# S4 method for UnivariateDistribution,UnivariateDistribution,asUnOvShoot,CondNeighborhood
getInfRobRegTypeIC(
ErrorL2deriv, Regressor, risk, neighbor, ErrorL2derivDistrSymm,
RegSymm, Finfo, trafo, upper, maxiter, tol, warn)
L2-derivative of ErrorDistr
.
regressor.
object of class "RiskType"
.
object of class "Neighborhood"
.
additional parameters.
symmetry of ErrorDistr
.
symmetry of ErrorL2derivDistr
.
symmetry of RegDistr
.
error distribution.
symmetry of ErrorL2deriv
.
Fisher information matrix.
matrix: transformation of the parameter.
upper bound for the optimal clipping bound.
the maximum number of iterations
the desired accuracy (convergence tolerance).
logical: print warnings.
initial value for the centering constant/function.
initial value for the standardizing matrix.
The optimally robust IC is computed.
computes the bias optimal influence curve for L2 differentiable regression-type families.
computes the bias optimal influence curve for L2 differentiable regression-type families.
computes the bias optimal influence curve for L2 differentiable regression-type families.
computes the bias optimal influence curve for L2 differentiable regression-type families.
computes the classical optimal influence curve for L2 differentiable regression-type families.
computes the classical optimal influence curve for L2 differentiable regression-type families.
computes the classical optimal influence curve for L2 differentiable regression-type families.
computes the classical optimal influence curve for L2 differentiable regression-type families.
computes the classical optimal influence curve for L2 differentiable regression-type families.
computes the classical optimal influence curve for L2 differentiable regression-type families.
computes the classical optimal influence curve for L2 differentiable regression-type families.
computes the optimally robust influence curve for L2 differentiable regression-type families.
computes the optimally robust influence curve for L2 differentiable regression-type families.
computes the optimally robust influence curve for L2 differentiable regression-type families.
computes the optimally robust influence curve for L2 differentiable regression-type families.
computes the bias optimal influence curve for L2 differentiable regression-type families.
computes the bias optimal influence curve for L2 differentiable regression-type families.
computes the bias optimal influence curve for L2 differentiable regression-type families.
computes the bias optimal influence curve for L2 differentiable regression-type families.
computes the classical optimal influence curve for L2 differentiable regression-type families.
computes the classical optimal influence curve for L2 differentiable regression-type families.
computes the optimally robust influence curve for L2 differentiable regression-type families.
computes the optimally robust influence curve for L2 differentiable regression-type families.
computes the optimally robust influence curve for L2 differentiable regression-type families.
computes the optimally robust influence curve for L2 differentiable regression-type families.
Rieder, H. (1980) Estimates derived from robust tests. Ann. Stats. 8: 106--115.
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.