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.