[Robast-commits] r1315 - pkg/ROptEst/man
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Mon Sep 2 09:37:52 CEST 2024
Author: stamats
Date: 2024-09-02 09:37:52 +0200 (Mon, 02 Sep 2024)
New Revision: 1315
Modified:
pkg/ROptEst/man/asAnscombe-class.Rd
pkg/ROptEst/man/asL1-class.Rd
pkg/ROptEst/man/asL1.Rd
pkg/ROptEst/man/asL4-class.Rd
pkg/ROptEst/man/asL4.Rd
Log:
changed links to distrMod
Modified: pkg/ROptEst/man/asAnscombe-class.Rd
===================================================================
--- pkg/ROptEst/man/asAnscombe-class.Rd 2024-08-29 20:21:57 UTC (rev 1314)
+++ pkg/ROptEst/man/asAnscombe-class.Rd 2024-09-02 07:37:52 UTC (rev 1315)
@@ -1,61 +1,61 @@
-\name{asAnscombe-class}
-\docType{class}
-\alias{asAnscombe-class}
-\alias{eff}
-\alias{eff,asAnscombe-method}
-\alias{show,asAnscombe-method}
-
-\title{Asymptotic Anscombe risk}
-\description{Class of asymptotic Anscombe risk which is
- the ARE (asymptotic relative efficiency) in the ideal model
- obtained by an optimal bias robust IC . }
-\section{Objects from the Class}{
- Objects can be created by calls of the form \code{new("asAnscombe", ...)}.
- More frequently they are created via the generating function
- \code{asAnscombe}.
-}
-\section{Slots}{
- \describe{
- \item{\code{type}}{Object of class \code{"character"}:
- \dQuote{optimal bias robust IC (OBRI) for given ARE (asymptotic relative efficiency)}. }
- \item{\code{eff}}{Object of class \code{"numeric"}:
- given ARE (asymptotic relative efficiency) to be attained in the ideal model. }
- \item{\code{biastype}}{Object of class \code{"BiasType"}:
- symmetric, one-sided or asymmetric }
- }
-}
-\section{Extends}{
-Class \code{"asRiskwithBias"}, directly.\cr
-Class \code{"asRisk"}, by class \code{"asRiskwithBias"}.
-Class \code{"RiskType"}, by class \code{"asRisk"}.
-}
-\section{Methods}{
- \describe{
- \item{eff}{\code{signature(object = "asAnscombe")}:
- accessor function for slot \code{eff}. }
- \item{show}{\code{signature(object = "asAnscombe")}}
- }
-}
-\references{
- F.J. Anscombe (1960). Rejection of Outliers. Technometrics \emph{2}(2): 123-146.
- \doi{10.1080/00401706.1960.10489888}.
-
- F. Hampel et al. (1986). \emph{Robust Statistics}.
- The Approach Based on Influence Functions. New York: Wiley.
- \doi{10.1002/9781118186435}.
-
- M. Kohl (2005). \emph{Numerical Contributions to the Asymptotic Theory of Robustness.}
- Dissertation. University of Bayreuth. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
-
- H. Rieder (1994). \emph{Robust Asymptotic Statistics.} Springer.
- \doi{10.1007/978-1-4684-0624-5}.
-}
-\author{Peter Ruckdeschel \email{peter.ruckdeschel at fraunhofer.itwm.de}}
-%\note{}
-\seealso{\code{\link[RobAStBase]{asRisk-class}}, \code{\link{asAnscombe}}}
-\examples{
-new("asAnscombe")
-}
-\concept{Hampel risk}
-\concept{risk}
-\keyword{classes}
+\name{asAnscombe-class}
+\docType{class}
+\alias{asAnscombe-class}
+\alias{eff}
+\alias{eff,asAnscombe-method}
+\alias{show,asAnscombe-method}
+
+\title{Asymptotic Anscombe risk}
+\description{Class of asymptotic Anscombe risk which is
+ the ARE (asymptotic relative efficiency) in the ideal model
+ obtained by an optimal bias robust IC . }
+\section{Objects from the Class}{
+ Objects can be created by calls of the form \code{new("asAnscombe", ...)}.
+ More frequently they are created via the generating function
+ \code{asAnscombe}.
+}
+\section{Slots}{
+ \describe{
+ \item{\code{type}}{Object of class \code{"character"}:
+ \dQuote{optimal bias robust IC (OBRI) for given ARE (asymptotic relative efficiency)}. }
+ \item{\code{eff}}{Object of class \code{"numeric"}:
+ given ARE (asymptotic relative efficiency) to be attained in the ideal model. }
+ \item{\code{biastype}}{Object of class \code{"BiasType"}:
+ symmetric, one-sided or asymmetric }
+ }
+}
+\section{Extends}{
+Class \code{"asRiskwithBias"}, directly.\cr
+Class \code{"asRisk"}, by class \code{"asRiskwithBias"}.
+Class \code{"RiskType"}, by class \code{"asRisk"}.
+}
+\section{Methods}{
+ \describe{
+ \item{eff}{\code{signature(object = "asAnscombe")}:
+ accessor function for slot \code{eff}. }
+ \item{show}{\code{signature(object = "asAnscombe")}}
+ }
+}
+\references{
+ F.J. Anscombe (1960). Rejection of Outliers. Technometrics \emph{2}(2): 123-146.
+ \doi{10.1080/00401706.1960.10489888}.
+
+ F. Hampel et al. (1986). \emph{Robust Statistics}.
+ The Approach Based on Influence Functions. New York: Wiley.
+ \doi{10.1002/9781118186435}.
+
+ M. Kohl (2005). \emph{Numerical Contributions to the Asymptotic Theory of Robustness.}
+ Dissertation. University of Bayreuth. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
+
+ H. Rieder (1994). \emph{Robust Asymptotic Statistics.} Springer.
+ \doi{10.1007/978-1-4684-0624-5}.
+}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at fraunhofer.itwm.de}}
+%\note{}
+\seealso{\code{\link[distrMod]{asRisk-class}}, \code{\link{asAnscombe}}}
+\examples{
+new("asAnscombe")
+}
+\concept{Hampel risk}
+\concept{risk}
+\keyword{classes}
Modified: pkg/ROptEst/man/asL1-class.Rd
===================================================================
--- pkg/ROptEst/man/asL1-class.Rd 2024-08-29 20:21:57 UTC (rev 1314)
+++ pkg/ROptEst/man/asL1-class.Rd 2024-09-02 07:37:52 UTC (rev 1315)
@@ -1,44 +1,44 @@
-\name{asL1-class}
-\docType{class}
-\alias{asL1-class}
-
-\title{Asymptotic mean absolute error}
-\description{Class of asymptotic mean absolute error.}
-\section{Objects from the Class}{
- Objects can be created by calls of the form \code{new("asL1", ...)}.
- More frequently they are created via the generating function
- \code{asL1}.
-}
-\section{Slots}{
- \describe{
- \item{\code{type}}{Object of class \code{"character"}:
- \dQuote{asymptotic mean square error}. }
- \item{\code{biastype}}{Object of class \code{"BiasType"}:
- symmetric, one-sided or asymmetric }
- \item{\code{normtype}}{Object of class \code{"NormType"}:
- norm in which a multivariate parameter is considered}
- }
-}
-\section{Extends}{
-Class \code{"asGRisk"}, directly.\cr
-Class \code{"asRiskwithBias"}, by class \code{"asGRisk"}.\cr
-Class \code{"asRisk"}, by class \code{"asRiskwithBias"}.\cr
-Class \code{"RiskType"}, by class \code{"asGRisk"}.
-}
-\section{Methods}{
-No methods defined with class "asL1" in the signature.
-}
-\references{
- P. Ruckdeschel and H. Rieder (2004). Optimal Influence Curves for
- General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
- \doi{10.1524/stnd.22.3.201.57067}
-}
-\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
-%\note{}
-\seealso{\code{\link[RobAStBase]{asGRisk-class}}, \code{\link[RobAStBase]{asMSE}}, \code{\link[RobAStBase]{asMSE-class}}, \code{\link{asL4-class}}, \code{\link{asL1}}}
-\examples{
-new("asMSE")
-}
-\concept{mean absolute error risk}
-\concept{risk}
-\keyword{classes}
+\name{asL1-class}
+\docType{class}
+\alias{asL1-class}
+
+\title{Asymptotic mean absolute error}
+\description{Class of asymptotic mean absolute error.}
+\section{Objects from the Class}{
+ Objects can be created by calls of the form \code{new("asL1", ...)}.
+ More frequently they are created via the generating function
+ \code{asL1}.
+}
+\section{Slots}{
+ \describe{
+ \item{\code{type}}{Object of class \code{"character"}:
+ \dQuote{asymptotic mean square error}. }
+ \item{\code{biastype}}{Object of class \code{"BiasType"}:
+ symmetric, one-sided or asymmetric }
+ \item{\code{normtype}}{Object of class \code{"NormType"}:
+ norm in which a multivariate parameter is considered}
+ }
+}
+\section{Extends}{
+Class \code{"asGRisk"}, directly.\cr
+Class \code{"asRiskwithBias"}, by class \code{"asGRisk"}.\cr
+Class \code{"asRisk"}, by class \code{"asRiskwithBias"}.\cr
+Class \code{"RiskType"}, by class \code{"asGRisk"}.
+}
+\section{Methods}{
+No methods defined with class "asL1" in the signature.
+}
+\references{
+ P. Ruckdeschel and H. Rieder (2004). Optimal Influence Curves for
+ General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
+ \doi{10.1524/stnd.22.3.201.57067}
+}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
+%\note{}
+\seealso{\code{\link[distrMod]{asGRisk-class}}, \code{\link[distrMod]{asMSE}}, \code{\link[distrMod]{asMSE-class}}, \code{\link{asL4-class}}, \code{\link{asL1}}}
+\examples{
+new("asMSE")
+}
+\concept{mean absolute error risk}
+\concept{risk}
+\keyword{classes}
Modified: pkg/ROptEst/man/asL1.Rd
===================================================================
--- pkg/ROptEst/man/asL1.Rd 2024-08-29 20:21:57 UTC (rev 1314)
+++ pkg/ROptEst/man/asL1.Rd 2024-09-02 07:37:52 UTC (rev 1315)
@@ -1,31 +1,31 @@
-\name{asL1}
-\alias{asL1}
-
-\title{Generating function for asMSE-class}
-\description{
- Generates an object of class \code{"asMSE"}.
-}
-\usage{asL1(biastype = symmetricBias(), normtype = NormType())}
-\arguments{
- \item{biastype}{a bias type of class \code{BiasType}}
- \item{normtype}{ a norm type of class \code{NormType}}
-}
-
-\value{Object of class \code{"asMSE"}}
-\references{
- P. Ruckdeschel and H. Rieder (2004). Optimal Influence Curves for
- General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
- \doi{10.1524/stnd.22.3.201.57067}
-}
-\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
-\seealso{\code{\link{asL1-class}}, \code{\link[RobAStBase]{asMSE}}, \code{\link{asL4}}}
-\examples{
-asL1()
-
-## The function is currently defined as
-function(biastype = symmetricBias(), normtype = NormType()){
- new("asL1", biastype = biastype, normtype = normtype) }
-}
-\concept{asymptotic mean square error}
-\concept{risk}
-\keyword{robust}
+\name{asL1}
+\alias{asL1}
+
+\title{Generating function for asMSE-class}
+\description{
+ Generates an object of class \code{"asMSE"}.
+}
+\usage{asL1(biastype = symmetricBias(), normtype = NormType())}
+\arguments{
+ \item{biastype}{a bias type of class \code{BiasType}}
+ \item{normtype}{ a norm type of class \code{NormType}}
+}
+
+\value{Object of class \code{"asMSE"}}
+\references{
+ P. Ruckdeschel and H. Rieder (2004). Optimal Influence Curves for
+ General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
+ \doi{10.1524/stnd.22.3.201.57067}
+}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
+\seealso{\code{\link{asL1-class}}, \code{\link[distrMod]{asMSE}}, \code{\link{asL4}}}
+\examples{
+asL1()
+
+## The function is currently defined as
+function(biastype = symmetricBias(), normtype = NormType()){
+ new("asL1", biastype = biastype, normtype = normtype) }
+}
+\concept{asymptotic mean square error}
+\concept{risk}
+\keyword{robust}
Modified: pkg/ROptEst/man/asL4-class.Rd
===================================================================
--- pkg/ROptEst/man/asL4-class.Rd 2024-08-29 20:21:57 UTC (rev 1314)
+++ pkg/ROptEst/man/asL4-class.Rd 2024-09-02 07:37:52 UTC (rev 1315)
@@ -1,44 +1,44 @@
-\name{asL4-class}
-\docType{class}
-\alias{asL4-class}
-
-\title{Asymptotic mean power 4 error}
-\description{Class of asymptotic mean power 4 error.}
-\section{Objects from the Class}{
- Objects can be created by calls of the form \code{new("asL4", ...)}.
- More frequently they are created via the generating function
- \code{asL4}.
-}
-\section{Slots}{
- \describe{
- \item{\code{type}}{Object of class \code{"character"}:
- \dQuote{asymptotic mean square error}. }
- \item{\code{biastype}}{Object of class \code{"BiasType"}:
- symmetric, one-sided or asymmetric }
- \item{\code{normtype}}{Object of class \code{"NormType"}:
- norm in which a multivariate parameter is considered}
- }
-}
-\section{Extends}{
-Class \code{"asGRisk"}, directly.\cr
-Class \code{"asRiskwithBias"}, by class \code{"asGRisk"}.\cr
-Class \code{"asRisk"}, by class \code{"asRiskwithBias"}.\cr
-Class \code{"RiskType"}, by class \code{"asGRisk"}.
-}
-\section{Methods}{
-No methods defined with class "asL4" in the signature.
-}
-\references{
- P. Ruckdeschel and H. Rieder (2004). Optimal Influence Curves for
- General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
- \doi{10.1524/stnd.22.3.201.57067}
-}
-\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
-%\note{}
-\seealso{\code{\link[RobAStBase]{asGRisk-class}}, \code{\link[RobAStBase]{asMSE}}, \code{\link[RobAStBase]{asMSE-class}}, \code{\link{asL1-class}}, \code{\link{asL4}}}
-\examples{
-new("asMSE")
-}
-\concept{asymptotic risk}
-\concept{risk}
-\keyword{classes}
+\name{asL4-class}
+\docType{class}
+\alias{asL4-class}
+
+\title{Asymptotic mean power 4 error}
+\description{Class of asymptotic mean power 4 error.}
+\section{Objects from the Class}{
+ Objects can be created by calls of the form \code{new("asL4", ...)}.
+ More frequently they are created via the generating function
+ \code{asL4}.
+}
+\section{Slots}{
+ \describe{
+ \item{\code{type}}{Object of class \code{"character"}:
+ \dQuote{asymptotic mean square error}. }
+ \item{\code{biastype}}{Object of class \code{"BiasType"}:
+ symmetric, one-sided or asymmetric }
+ \item{\code{normtype}}{Object of class \code{"NormType"}:
+ norm in which a multivariate parameter is considered}
+ }
+}
+\section{Extends}{
+Class \code{"asGRisk"}, directly.\cr
+Class \code{"asRiskwithBias"}, by class \code{"asGRisk"}.\cr
+Class \code{"asRisk"}, by class \code{"asRiskwithBias"}.\cr
+Class \code{"RiskType"}, by class \code{"asGRisk"}.
+}
+\section{Methods}{
+No methods defined with class "asL4" in the signature.
+}
+\references{
+ P. Ruckdeschel and H. Rieder (2004). Optimal Influence Curves for
+ General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
+ \doi{10.1524/stnd.22.3.201.57067}
+}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
+%\note{}
+\seealso{\code{\link[distrMod]{asGRisk-class}}, \code{\link[distrMod]{asMSE}}, \code{\link[distrMod]{asMSE-class}}, \code{\link{asL1-class}}, \code{\link{asL4}}}
+\examples{
+new("asMSE")
+}
+\concept{asymptotic risk}
+\concept{risk}
+\keyword{classes}
Modified: pkg/ROptEst/man/asL4.Rd
===================================================================
--- pkg/ROptEst/man/asL4.Rd 2024-08-29 20:21:57 UTC (rev 1314)
+++ pkg/ROptEst/man/asL4.Rd 2024-09-02 07:37:52 UTC (rev 1315)
@@ -1,31 +1,31 @@
-\name{asL4}
-\alias{asL4}
-
-\title{Generating function for asL4-class}
-\description{
- Generates an object of class \code{"asL4"}.
-}
-\usage{asL4(biastype = symmetricBias(), normtype = NormType())}
-\arguments{
- \item{biastype}{a bias type of class \code{BiasType}}
- \item{normtype}{ a norm type of class \code{NormType}}
-}
-
-\value{Object of class \code{"asL4"}}
-\references{
- P. Ruckdeschel and H. Rieder (2004). Optimal Influence Curves for
- General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
- \doi{10.1524/stnd.22.3.201.57067}
-}
-\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
-\seealso{\code{\link{asL4-class}}, \code{\link[RobAStBase]{asMSE}}, \code{\link{asL1}}}
-\examples{
-asL4()
-
-## The function is currently defined as
-function(biastype = symmetricBias(), normtype = NormType()){
- new("asL4", biastype = biastype, normtype = normtype) }
-}
-\concept{asymptotic mean square error}
-\concept{risk}
-\keyword{robust}
+\name{asL4}
+\alias{asL4}
+
+\title{Generating function for asL4-class}
+\description{
+ Generates an object of class \code{"asL4"}.
+}
+\usage{asL4(biastype = symmetricBias(), normtype = NormType())}
+\arguments{
+ \item{biastype}{a bias type of class \code{BiasType}}
+ \item{normtype}{ a norm type of class \code{NormType}}
+}
+
+\value{Object of class \code{"asL4"}}
+\references{
+ P. Ruckdeschel and H. Rieder (2004). Optimal Influence Curves for
+ General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
+ \doi{10.1524/stnd.22.3.201.57067}
+}
+\author{Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
+\seealso{\code{\link{asL4-class}}, \code{\link[distrMod]{asMSE}}, \code{\link{asL1}}}
+\examples{
+asL4()
+
+## The function is currently defined as
+function(biastype = symmetricBias(), normtype = NormType()){
+ new("asL4", biastype = biastype, normtype = normtype) }
+}
+\concept{asymptotic mean square error}
+\concept{risk}
+\keyword{robust}
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