[Robast-commits] r840 - pkg/ROptEst/man
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Tue Jun 16 09:39:27 CEST 2015
Author: ruckdeschel
Date: 2015-06-16 09:39:26 +0200 (Tue, 16 Jun 2015)
New Revision: 840
Modified:
pkg/ROptEst/man/0ROptEst-package.Rd
pkg/ROptEst/man/asL1-class.Rd
pkg/ROptEst/man/asL1.Rd
pkg/ROptEst/man/asL4-class.Rd
pkg/ROptEst/man/asL4.Rd
pkg/ROptEst/man/cniperCont.Rd
pkg/ROptEst/man/getAsGRiskFct-methods.Rd
pkg/ROptEst/man/getBiasIC.Rd
pkg/ROptEst/man/getInfCent.Rd
pkg/ROptEst/man/getInfClip.Rd
pkg/ROptEst/man/getInfGamma.Rd
pkg/ROptEst/man/getInfRad.Rd
pkg/ROptEst/man/getInfRobIC.Rd
pkg/ROptEst/man/getInfStand.Rd
pkg/ROptEst/man/getInfV.Rd
pkg/ROptEst/man/getL1normL2deriv.Rd
pkg/ROptEst/man/getL2normL2deriv.Rd
pkg/ROptEst/man/getRadius.Rd
pkg/ROptEst/man/getRiskIC.Rd
pkg/ROptEst/man/getStartIC-methods.Rd
pkg/ROptEst/man/getinfLM.Rd
pkg/ROptEst/man/inputGenerator.Rd
pkg/ROptEst/man/internals.Rd
pkg/ROptEst/man/leastFavorableRadius.Rd
pkg/ROptEst/man/lowerCaseRadius.Rd
pkg/ROptEst/man/minmaxBias.Rd
pkg/ROptEst/man/radiusMinimaxIC.Rd
pkg/ROptEst/man/robest.Rd
pkg/ROptEst/man/roptest.Rd
pkg/ROptEst/man/updateNorm-methods.Rd
Log:
Mail-Adresse aktualisiert
Modified: pkg/ROptEst/man/0ROptEst-package.Rd
===================================================================
--- pkg/ROptEst/man/0ROptEst-package.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/0ROptEst-package.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -23,7 +23,7 @@
}
}
\author{
-Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de},\cr%
+Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de},\cr%
Matthias Kohl \email{Matthias.Kohl at stamats.de}\cr
Maintainer: Matthias Kohl \email{matthias.kohl at stamats.de}}
Modified: pkg/ROptEst/man/asL1-class.Rd
===================================================================
--- pkg/ROptEst/man/asL1-class.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/asL1-class.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -32,7 +32,7 @@
Ruckdeschel, P. and Rieder, H. (2004) Optimal Influence Curves for
General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
}
-\author{Peter Ruckdeschel \email{peter.ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link{asGRisk-class}}, \code{\link{asMSE}}, \code{\link{asMSE-class}}, \code{\link{asL4-class}}, \code{\link{asL1}}}
\examples{
Modified: pkg/ROptEst/man/asL1.Rd
===================================================================
--- pkg/ROptEst/man/asL1.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/asL1.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -17,7 +17,7 @@
Ruckdeschel, P. and Rieder, H. (2004) Optimal Influence Curves for
General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
}
-\author{Peter Ruckdeschel \email{peter.ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link{asL1-class}}, \code{\link{asMSE}}, \code{\link{asL4}}}
\examples{
Modified: pkg/ROptEst/man/asL4-class.Rd
===================================================================
--- pkg/ROptEst/man/asL4-class.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/asL4-class.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -32,7 +32,7 @@
Ruckdeschel, P. and Rieder, H. (2004) Optimal Influence Curves for
General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
}
-\author{Peter Ruckdeschel \email{peter.ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link{asGRisk-class}}, \code{\link{asMSE}}, \code{\link{asMSE-class}}, \code{\link{asL1-class}}, \code{\link{asL4}}}
\examples{
Modified: pkg/ROptEst/man/asL4.Rd
===================================================================
--- pkg/ROptEst/man/asL4.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/asL4.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -17,7 +17,7 @@
Ruckdeschel, P. and Rieder, H. (2004) Optimal Influence Curves for
General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
}
-\author{Peter Ruckdeschel \email{peter.ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link{asL4-class}}, \code{\link{asMSE}}, \code{\link{asL1}}}
\examples{
Modified: pkg/ROptEst/man/cniperCont.Rd
===================================================================
--- pkg/ROptEst/man/cniperCont.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/cniperCont.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -1,185 +1,185 @@
-\name{cniperCont}
-\alias{cniperCont}
-\alias{cniperPoint}
-\alias{cniperPointPlot}
-\title{ Functions for Computation and Plot of Cniper Contamination
- and Cniper Points. }
-\description{
- These functions and their methods can be used to determine cniper
- contamination as well as cniper points. That is, under which (Dirac)
- contamination is the risk of one procedure larger than the risk of some
- other procedure.
-}
-\usage{
-cniperCont(IC1, IC2, data = NULL, ...,
- neighbor, risk, lower = getdistrOption("DistrResolution"),
- upper = 1-getdistrOption("DistrResolution"), n = 101,
- scaleX = FALSE, scaleX.fct, scaleX.inv,
- scaleY = FALSE, scaleY.fct = pnorm, scaleY.inv=qnorm,
- scaleN = 9, x.ticks = NULL, y.ticks = NULL,
- cex.pts = 1, col.pts = par("col"),
- pch.pts = 19, jitter.fac = 1, with.lab = FALSE,
- lab.pts = NULL, lab.font = NULL, alpha.trsp = NA,
- which.lbs = NULL, which.Order = NULL,
- return.Order = FALSE)
-
-
-cniperPoint(L2Fam, neighbor, risk, lower, upper)
-
-cniperPointPlot(L2Fam, data=NULL, ..., neighbor, risk= asMSE(),
- lower=getdistrOption("DistrResolution"),
- upper=1-getdistrOption("DistrResolution"), n = 101,
- withMaxRisk = TRUE,
- scaleX = FALSE, scaleX.fct, scaleX.inv,
- scaleY = FALSE, scaleY.fct = pnorm, scaleY.inv=qnorm,
- scaleN = 9, x.ticks = NULL, y.ticks = NULL,
- cex.pts = 1, col.pts = par("col"),
- pch.pts = 19, jitter.fac = 1, with.lab = FALSE,
- lab.pts = NULL, lab.font = NULL, alpha.trsp = NA,
- which.lbs = NULL, which.Order = NULL,
- return.Order = FALSE)
-
-}
-\arguments{
- \item{IC1}{ object of class \code{IC} }
- \item{IC2}{ object of class \code{IC} }
- \item{L2Fam}{ object of class \code{L2ParamFamily} }
- \item{neighbor}{ object of class \code{Neighborhood} }
- \item{risk}{ object of class \code{RiskType} }
- \item{\dots}{ additional parameters (in particular to be passed on to \code{plot}). }
- \item{data}{data to be plotted in}
- \item{lower, upper}{ the lower and upper end points of the
- contamination interval (in prob-scale). }
- \item{n}{ number of points between \code{lower} and \code{upper}}
- \item{withMaxRisk}{logical; if \code{TRUE}, for risk comparison
- uses the maximal risk of the classically optimal IC \eqn{\psi}{psi} in all
- situations with contamination in Dirac points 'no larger' than
- the respective evaluation point and the optimally-robust
- IC \eqn{\eta}{eta} at its least favorable contamination situation
- ('over all real Dirac contamination points'). This is the default and
- was the behavior prior to package version 0.9).
- If \code{FALSE} it uses exactly the situation
- with Dirac contamination in the evaluation point for both ICs
- \eqn{\psi}{psi} and \eqn{\eta}{eta} which amounts to calling \code{cniperCont}
- with \code{IC1=psi}, \code{IC2=eta}.}
- \item{scaleX}{logical; shall X-axis be rescaled (by default according to the cdf of
- the underlying distribution)?}
- \item{scaleY}{logical; shall Y-axis be rescaled (by default according to a probit scale)?}
- \item{scaleX.fct}{an isotone, vectorized function mapping the domain of the IC(s)
- to [0,1]; if \code{scaleX} is \code{TRUE} and \code{scaleX.fct} is
- missing, the cdf of the underlying observation distribution.}
- \item{scaleX.inv}{the inverse function to \code{scale.fct}, i.e., an isotone,
- vectorized function mapping [0,1] to the domain of the IC(s)
- such that for any \code{x} in the domain,
- \code{scaleX.inv(scaleX.fct(x))==x}; if \code{scaleX} is \code{TRUE}
- and \code{scaleX.inv} is
- missing, the quantile function of the underlying observation distribution.}
- \item{scaleY.fct}{an isotone, vectorized function mapping for each coordinate the
- range of the respective coordinate of the IC(s)
- to [0,1]; defaulting to the cdf of \eqn{{\cal N}(0,1)}{N(0,1)}.}
- \item{scaleY.inv}{an isotone, vectorized function mapping for each coordinate
- the range [0,1] into the range of the respective coordinate of the IC(s);
- defaulting to the quantile function of \eqn{{\cal N}(0,1)}{N(0,1)}.}
- \item{scaleN}{integer; defaults to 9; on rescaled axes, number of x
- and y ticks if drawn automatically;}
- \item{x.ticks}{numeric; defaults to NULL; (then ticks are chosen automatically);
- if non-NULL, user-given x-ticks (on original scale);}
- \item{y.ticks}{numeric; defaults to NULL; (then ticks are chosen automatically);
- if non-NULL, user-given y-ticks (on original scale);}
- \item{cex.pts}{size of the points of the second argument plotted}
- \item{col.pts}{color of the points of the second argument plotted}
- \item{pch.pts}{symbol of the points of the second argument plotted}
- \item{with.lab}{logical; shall labels be plotted to the observations?}
- \item{lab.pts}{character or NULL; labels to be plotted to the observations; if \code{NULL}
- observation indices;}
- \item{lab.font}{font to be used for labels}
- \item{alpha.trsp}{alpha transparency to be added ex post to colors
- \code{col.pch} and \code{col.lbl}; if one-dim and NA all colors are
- left unchanged. Otherwise, with usual recycling rules \code{alpha.trsp}
- gets shorted/prolongated to length the data-symbols to be plotted.
- Coordinates of this vector \code{alpha.trsp} with NA are left unchanged,
- while for the remaining ones, the alpha channel in rgb space is set
- to the respective coordinate value of \code{alpha.trsp}. The non-NA
- entries must be integers in [0,255] (0 invisible, 255 opaque).}
- \item{jitter.fac}{jittering factor used in case of a \code{DiscreteDistribution}
- for plotting points of the second argument in a jittered fashion.}
- \item{which.lbs}{either an integer vector with the indices of the observations
- to be plotted into graph or \code{NULL} --- then no observation is excluded}
- \item{which.Order}{we order the observations (descending) according to the norm given by
- \code{normtype(object)}; then \code{which.Order}
- either is an integer vector with the indices of the \emph{ordered}
- observations (remaining after a possible reduction by argument \code{which.lbs})
- to be plotted into graph or \code{NULL} --- then no (further) observation
- is excluded.}
- \item{return.Order}{logical; if \code{TRUE}, an order vector
- is returned; more specifically, the order of the (remaining) observations
- given by their original index is returned (remaining means: after a possible
- reduction by argument \code{which.lbs}, and ordering is according to the norm given by
- \code{normtype(object)});
- otherwise we return \code{invisible()} as usual.}
-}
-\details{
- In case of \code{cniperCont} the difference between the risks of two ICs
- is plotted.
-
- The function \code{cniperPoint} can be used to determine cniper
- points. That is, points such that the optimally robust estimator
- has smaller minimax risk than the classical optimal estimator under
- contamination with Dirac measures at the cniper points.
-
- As such points might be difficult to find, we provide the
- function \code{cniperPointPlot} which can be used to obtain a plot
- of the risk difference; in this function the usual arguments for
- \code{plot} can be used. For arguments \code{col}, \code{lwd},
- vectors can be used; then the first coordinate is taken for the
- curve, the second one for the balancing line. For argument \code{lty},
- a list can be used; its first component is then taken for the
- curve, the second one for the balancing line.
-
- For more details about cniper contamination and cniper points we refer
- to Section~3.5 of Kohl et al. (2008) as well as Ruckdeschel (2004) and
- the Introduction of Kohl (2005).
-}
-\value{invisible() resp. cniper point is returned.}
-\references{
- Kohl, M. and Ruckdeschel, H. and Rieder, H. (2008). Infinitesimally
- Robust Estimation in General Smoothly Parametrized Models. Unpublished
- Manuscript.
-
- Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}.
- Bayreuth: Dissertation.
-
- Ruckdeschel, P. (2004). Higher Order Asymptotics for the MSE of M-Estimators
- on Shrinking Neighborhoods. Unpublished Manuscript.
-}
-\author{Matthias Kohl \email{Matthias.Kohl at stamats.de}}
-%\note{}
-%\seealso{ ~~objects to See Also as \code{\link{help}}, ~~~ }
-\examples{
-## cniper contamination
-P <- PoisFamily(lambda = 4)
-RobP1 <- InfRobModel(center = P, neighbor = ContNeighborhood(radius = 0.1))
-IC1 <- optIC(model=RobP1, risk=asMSE())
-RobP2 <- InfRobModel(center = P, neighbor = ContNeighborhood(radius = 1))
-IC2 <- optIC(model=RobP2, risk=asMSE())
-cniperCont(IC1 = IC1, IC2 = IC2,
- neighbor = ContNeighborhood(radius = 0.5),
- risk = asMSE(),
- lower = 0, upper = 8, n = 101)
-
-## cniper point plot
-cniperPointPlot(P, neighbor = ContNeighborhood(radius = 0.5),
- risk = asMSE(), lower = 0, upper = 10)
-
-## Don't run to reduce check time on CRAN
-\dontrun{
-## cniper point
-cniperPoint(P, neighbor = ContNeighborhood(radius = 0.5),
- risk = asMSE(), lower = 0, upper = 4)
-cniperPoint(P, neighbor = ContNeighborhood(radius = 0.5),
- risk = asMSE(), lower = 4, upper = 8)
-}
-}
-\concept{cniper contamination}
-\concept{cniper point}
-\keyword{robust}
+\name{cniperCont}
+\alias{cniperCont}
+\alias{cniperPoint}
+\alias{cniperPointPlot}
+\title{ Functions for Computation and Plot of Cniper Contamination
+ and Cniper Points. }
+\description{
+ These functions and their methods can be used to determine cniper
+ contamination as well as cniper points. That is, under which (Dirac)
+ contamination is the risk of one procedure larger than the risk of some
+ other procedure.
+}
+\usage{
+cniperCont(IC1, IC2, data = NULL, ...,
+ neighbor, risk, lower = getdistrOption("DistrResolution"),
+ upper = 1-getdistrOption("DistrResolution"), n = 101,
+ scaleX = FALSE, scaleX.fct, scaleX.inv,
+ scaleY = FALSE, scaleY.fct = pnorm, scaleY.inv=qnorm,
+ scaleN = 9, x.ticks = NULL, y.ticks = NULL,
+ cex.pts = 1, col.pts = par("col"),
+ pch.pts = 19, jitter.fac = 1, with.lab = FALSE,
+ lab.pts = NULL, lab.font = NULL, alpha.trsp = NA,
+ which.lbs = NULL, which.Order = NULL,
+ return.Order = FALSE)
+
+
+cniperPoint(L2Fam, neighbor, risk, lower, upper)
+
+cniperPointPlot(L2Fam, data=NULL, ..., neighbor, risk= asMSE(),
+ lower=getdistrOption("DistrResolution"),
+ upper=1-getdistrOption("DistrResolution"), n = 101,
+ withMaxRisk = TRUE,
+ scaleX = FALSE, scaleX.fct, scaleX.inv,
+ scaleY = FALSE, scaleY.fct = pnorm, scaleY.inv=qnorm,
+ scaleN = 9, x.ticks = NULL, y.ticks = NULL,
+ cex.pts = 1, col.pts = par("col"),
+ pch.pts = 19, jitter.fac = 1, with.lab = FALSE,
+ lab.pts = NULL, lab.font = NULL, alpha.trsp = NA,
+ which.lbs = NULL, which.Order = NULL,
+ return.Order = FALSE)
+
+}
+\arguments{
+ \item{IC1}{ object of class \code{IC} }
+ \item{IC2}{ object of class \code{IC} }
+ \item{L2Fam}{ object of class \code{L2ParamFamily} }
+ \item{neighbor}{ object of class \code{Neighborhood} }
+ \item{risk}{ object of class \code{RiskType} }
+ \item{\dots}{ additional parameters (in particular to be passed on to \code{plot}). }
+ \item{data}{data to be plotted in}
+ \item{lower, upper}{ the lower and upper end points of the
+ contamination interval (in prob-scale). }
+ \item{n}{ number of points between \code{lower} and \code{upper}}
+ \item{withMaxRisk}{logical; if \code{TRUE}, for risk comparison
+ uses the maximal risk of the classically optimal IC \eqn{\psi}{psi} in all
+ situations with contamination in Dirac points 'no larger' than
+ the respective evaluation point and the optimally-robust
+ IC \eqn{\eta}{eta} at its least favorable contamination situation
+ ('over all real Dirac contamination points'). This is the default and
+ was the behavior prior to package version 0.9).
+ If \code{FALSE} it uses exactly the situation
+ with Dirac contamination in the evaluation point for both ICs
+ \eqn{\psi}{psi} and \eqn{\eta}{eta} which amounts to calling \code{cniperCont}
+ with \code{IC1=psi}, \code{IC2=eta}.}
+ \item{scaleX}{logical; shall X-axis be rescaled (by default according to the cdf of
+ the underlying distribution)?}
+ \item{scaleY}{logical; shall Y-axis be rescaled (by default according to a probit scale)?}
+ \item{scaleX.fct}{an isotone, vectorized function mapping the domain of the IC(s)
+ to [0,1]; if \code{scaleX} is \code{TRUE} and \code{scaleX.fct} is
+ missing, the cdf of the underlying observation distribution.}
+ \item{scaleX.inv}{the inverse function to \code{scale.fct}, i.e., an isotone,
+ vectorized function mapping [0,1] to the domain of the IC(s)
+ such that for any \code{x} in the domain,
+ \code{scaleX.inv(scaleX.fct(x))==x}; if \code{scaleX} is \code{TRUE}
+ and \code{scaleX.inv} is
+ missing, the quantile function of the underlying observation distribution.}
+ \item{scaleY.fct}{an isotone, vectorized function mapping for each coordinate the
+ range of the respective coordinate of the IC(s)
+ to [0,1]; defaulting to the cdf of \eqn{{\cal N}(0,1)}{N(0,1)}.}
+ \item{scaleY.inv}{an isotone, vectorized function mapping for each coordinate
+ the range [0,1] into the range of the respective coordinate of the IC(s);
+ defaulting to the quantile function of \eqn{{\cal N}(0,1)}{N(0,1)}.}
+ \item{scaleN}{integer; defaults to 9; on rescaled axes, number of x
+ and y ticks if drawn automatically;}
+ \item{x.ticks}{numeric; defaults to NULL; (then ticks are chosen automatically);
+ if non-NULL, user-given x-ticks (on original scale);}
+ \item{y.ticks}{numeric; defaults to NULL; (then ticks are chosen automatically);
+ if non-NULL, user-given y-ticks (on original scale);}
+ \item{cex.pts}{size of the points of the second argument plotted}
+ \item{col.pts}{color of the points of the second argument plotted}
+ \item{pch.pts}{symbol of the points of the second argument plotted}
+ \item{with.lab}{logical; shall labels be plotted to the observations?}
+ \item{lab.pts}{character or NULL; labels to be plotted to the observations; if \code{NULL}
+ observation indices;}
+ \item{lab.font}{font to be used for labels}
+ \item{alpha.trsp}{alpha transparency to be added ex post to colors
+ \code{col.pch} and \code{col.lbl}; if one-dim and NA all colors are
+ left unchanged. Otherwise, with usual recycling rules \code{alpha.trsp}
+ gets shorted/prolongated to length the data-symbols to be plotted.
+ Coordinates of this vector \code{alpha.trsp} with NA are left unchanged,
+ while for the remaining ones, the alpha channel in rgb space is set
+ to the respective coordinate value of \code{alpha.trsp}. The non-NA
+ entries must be integers in [0,255] (0 invisible, 255 opaque).}
+ \item{jitter.fac}{jittering factor used in case of a \code{DiscreteDistribution}
+ for plotting points of the second argument in a jittered fashion.}
+ \item{which.lbs}{either an integer vector with the indices of the observations
+ to be plotted into graph or \code{NULL} --- then no observation is excluded}
+ \item{which.Order}{we order the observations (descending) according to the norm given by
+ \code{normtype(object)}; then \code{which.Order}
+ either is an integer vector with the indices of the \emph{ordered}
+ observations (remaining after a possible reduction by argument \code{which.lbs})
+ to be plotted into graph or \code{NULL} --- then no (further) observation
+ is excluded.}
+ \item{return.Order}{logical; if \code{TRUE}, an order vector
+ is returned; more specifically, the order of the (remaining) observations
+ given by their original index is returned (remaining means: after a possible
+ reduction by argument \code{which.lbs}, and ordering is according to the norm given by
+ \code{normtype(object)});
+ otherwise we return \code{invisible()} as usual.}
+}
+\details{
+ In case of \code{cniperCont} the difference between the risks of two ICs
+ is plotted.
+
+ The function \code{cniperPoint} can be used to determine cniper
+ points. That is, points such that the optimally robust estimator
+ has smaller minimax risk than the classical optimal estimator under
+ contamination with Dirac measures at the cniper points.
+
+ As such points might be difficult to find, we provide the
+ function \code{cniperPointPlot} which can be used to obtain a plot
+ of the risk difference; in this function the usual arguments for
+ \code{plot} can be used. For arguments \code{col}, \code{lwd},
+ vectors can be used; then the first coordinate is taken for the
+ curve, the second one for the balancing line. For argument \code{lty},
+ a list can be used; its first component is then taken for the
+ curve, the second one for the balancing line.
+
+ For more details about cniper contamination and cniper points we refer
+ to Section~3.5 of Kohl et al. (2008) as well as Ruckdeschel (2004) and
+ the Introduction of Kohl (2005).
+}
+\value{invisible() resp. cniper point is returned.}
+\references{
+ Kohl, M. and Ruckdeschel, H. and Rieder, H. (2008). Infinitesimally
+ Robust Estimation in General Smoothly Parametrized Models. Unpublished
+ Manuscript.
+
+ Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}.
+ Bayreuth: Dissertation.
+
+ Ruckdeschel, P. (2004). Higher Order Asymptotics for the MSE of M-Estimators
+ on Shrinking Neighborhoods. Unpublished Manuscript.
+}
+\author{Matthias Kohl \email{Matthias.Kohl at stamats.de}}
+%\note{}
+%\seealso{ ~~objects to See Also as \code{\link{help}}, ~~~ }
+\examples{
+## cniper contamination
+P <- PoisFamily(lambda = 4)
+RobP1 <- InfRobModel(center = P, neighbor = ContNeighborhood(radius = 0.1))
+IC1 <- optIC(model=RobP1, risk=asMSE())
+RobP2 <- InfRobModel(center = P, neighbor = ContNeighborhood(radius = 1))
+IC2 <- optIC(model=RobP2, risk=asMSE())
+cniperCont(IC1 = IC1, IC2 = IC2,
+ neighbor = ContNeighborhood(radius = 0.5),
+ risk = asMSE(),
+ lower = 0, upper = 8, n = 101)
+
+## cniper point plot
+cniperPointPlot(P, neighbor = ContNeighborhood(radius = 0.5),
+ risk = asMSE(), lower = 0, upper = 10)
+
+## Don't run to reduce check time on CRAN
+\dontrun{
+## cniper point
+cniperPoint(P, neighbor = ContNeighborhood(radius = 0.5),
+ risk = asMSE(), lower = 0, upper = 4)
+cniperPoint(P, neighbor = ContNeighborhood(radius = 0.5),
+ risk = asMSE(), lower = 4, upper = 8)
+}
+}
+\concept{cniper contamination}
+\concept{cniper point}
+\keyword{robust}
Modified: pkg/ROptEst/man/getAsGRiskFct-methods.Rd
===================================================================
--- pkg/ROptEst/man/getAsGRiskFct-methods.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getAsGRiskFct-methods.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -33,7 +33,7 @@
\details{\code{get.asGRisk.fct} is used internally in functions \code{\link{getAsRisk}}
and \code{\link{getReq}}.}
-\author{Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\examples{}
\concept{asymptotic risk}
\concept{risk}
Modified: pkg/ROptEst/man/getBiasIC.Rd
===================================================================
--- pkg/ROptEst/man/getBiasIC.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getBiasIC.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -46,7 +46,7 @@
Ruckdeschel, P. and Kohl, M. (2005) Computation of the Finite Sample Bias
of M-estimators on Neighborhoods.
}
-\author{Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
\note{This generic function is still under construction.}
\seealso{\code{\link{getRiskIC-methods}}, \code{\link[RobAStBase]{InfRobModel-class}}}
%\examples{}
Modified: pkg/ROptEst/man/getInfCent.Rd
===================================================================
--- pkg/ROptEst/man/getInfCent.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getInfCent.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -85,7 +85,7 @@
Bayreuth: Dissertation.
}
\author{Matthias Kohl \email{Matthias.Kohl at stamats.de},
- Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+ Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link[RobAStBase]{ContIC-class}}, \code{\link[RobAStBase]{TotalVarIC-class}}}
%\examples{}
Modified: pkg/ROptEst/man/getInfClip.Rd
===================================================================
--- pkg/ROptEst/man/getInfClip.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getInfClip.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -117,7 +117,7 @@
Bayreuth: Dissertation.
}
\author{Matthias Kohl \email{Matthias.Kohl at stamats.de},
- Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+ Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link[RobAStBase]{ContIC-class}}, \code{\link[RobAStBase]{TotalVarIC-class}}}
%\examples{}
Modified: pkg/ROptEst/man/getInfGamma.Rd
===================================================================
--- pkg/ROptEst/man/getInfGamma.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getInfGamma.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -103,7 +103,7 @@
Bayreuth: Dissertation.
}
\author{Matthias Kohl \email{Matthias.Kohl at stamats.de},
- Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+ Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link[distrMod]{asGRisk-class}}, \code{\link[distrMod]{asMSE-class}},
\code{\link[distrMod]{asUnOvShoot-class}}, \code{\link[RobAStBase]{ContIC-class}},
Modified: pkg/ROptEst/man/getInfRad.Rd
===================================================================
--- pkg/ROptEst/man/getInfRad.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getInfRad.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -120,7 +120,7 @@
Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}.
Bayreuth: Dissertation.
}
-\author{Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link[RobAStBase]{ContIC-class}}, \code{\link[RobAStBase]{TotalVarIC-class}}}
%\examples{}
Modified: pkg/ROptEst/man/getInfRobIC.Rd
===================================================================
--- pkg/ROptEst/man/getInfRobIC.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getInfRobIC.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -227,7 +227,7 @@
Bayreuth: Dissertation.
}
\author{Matthias Kohl \email{Matthias.Kohl at stamats.de},\cr
- Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+ Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link[RobAStBase]{InfRobModel-class}}}
%\examples{}
Modified: pkg/ROptEst/man/getInfStand.Rd
===================================================================
--- pkg/ROptEst/man/getInfStand.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getInfStand.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -79,7 +79,7 @@
Bayreuth: Dissertation.
}
\author{Matthias Kohl \email{Matthias.Kohl at stamats.de},
- Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+ Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link[RobAStBase]{ContIC-class}}, \code{\link[RobAStBase]{TotalVarIC-class}}}
%\examples{}
Modified: pkg/ROptEst/man/getInfV.Rd
===================================================================
--- pkg/ROptEst/man/getInfV.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getInfV.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -58,7 +58,7 @@
Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}.
Bayreuth: Dissertation.
}
-\author{Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link[RobAStBase]{ContIC-class}}, \code{\link[RobAStBase]{TotalVarIC-class}}}
%\examples{}
Modified: pkg/ROptEst/man/getL1normL2deriv.Rd
===================================================================
--- pkg/ROptEst/man/getL1normL2deriv.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getL1normL2deriv.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -26,7 +26,7 @@
}
\value{L1 norm of the L2derivative}
-\author{Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\examples{
##
Modified: pkg/ROptEst/man/getL2normL2deriv.Rd
===================================================================
--- pkg/ROptEst/man/getL2normL2deriv.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getL2normL2deriv.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -14,7 +14,7 @@
}
\value{L2 norm of the L2derivative}
-\author{Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\examples{
##
Modified: pkg/ROptEst/man/getRadius.Rd
===================================================================
--- pkg/ROptEst/man/getRadius.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getRadius.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -35,7 +35,7 @@
Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}.
Bayreuth: Dissertation.
}
-\author{Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link[RobAStBase]{ContIC-class}}, \code{\link[RobAStBase]{TotalVarIC-class}}}
\examples{
Modified: pkg/ROptEst/man/getRiskIC.Rd
===================================================================
--- pkg/ROptEst/man/getRiskIC.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getRiskIC.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -55,7 +55,7 @@
Ruckdeschel, P. and Kohl, M. (2005) Computation of the Finite Sample Risk
of M-estimators on Neighborhoods.
}
-\author{Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
\note{This generic function is still under construction.}
\seealso{\code{\link[ROptEst]{getRiskIC}}, \code{\link[RobAStBase]{InfRobModel-class}}}
\examples{
Modified: pkg/ROptEst/man/getStartIC-methods.Rd
===================================================================
--- pkg/ROptEst/man/getStartIC-methods.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getStartIC-methods.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -55,7 +55,7 @@
\details{\code{getStartIC} is used internally in functions \code{robest}
and \code{roptest} to compute the optimally robust influence function
according to the arguments given to them.}
-\author{Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
\seealso{\code{\link{robest}},\code{\link{optIC}}, \code{\link{radiusMinimaxIC}}}
%\examples{}
\concept{asymptotic risk}
Modified: pkg/ROptEst/man/getinfLM.Rd
===================================================================
--- pkg/ROptEst/man/getinfLM.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/getinfLM.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -85,7 +85,7 @@
Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}.
Bayreuth: Dissertation.
}
-\author{Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{\code{\link[RobAStBase]{InfRobModel-class}}}
%\examples{}
Modified: pkg/ROptEst/man/inputGenerator.Rd
===================================================================
--- pkg/ROptEst/man/inputGenerator.Rd 2015-06-16 07:37:31 UTC (rev 839)
+++ pkg/ROptEst/man/inputGenerator.Rd 2015-06-16 07:39:26 UTC (rev 840)
@@ -75,7 +75,7 @@
For details, see this function.
}
\author{Matthias Kohl \email{Matthias.Kohl at stamats.de},\cr
- Peter Ruckdeschel \email{Peter.Ruckdeschel at itwm.fraunhofer.de}}
+ Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
%\note{}
\seealso{ \code{\link[RobLox]{roblox}},
\code{\link[distrMod]{L2ParamFamily-class}}
Modified: pkg/ROptEst/man/internals.Rd
===================================================================
--- pkg/ROptEst/man/internals.Rd 2015-06-16 07:37:31 UTC (rev 839)
[TRUNCATED]
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svnlook diff /svnroot/robast -r 840
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