[Robast-commits] r1275 - pkg/ROptEst/man

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Tue Feb 6 20:54:22 CET 2024


Author: ruckdeschel
Date: 2024-02-06 20:54:21 +0100 (Tue, 06 Feb 2024)
New Revision: 1275

Modified:
   pkg/ROptEst/man/0ROptEst-package.Rd
   pkg/ROptEst/man/ORobEstimate-class.Rd
   pkg/ROptEst/man/RMXEOMSEMBREOBRE.Rd
   pkg/ROptEst/man/asAnscombe-class.Rd
   pkg/ROptEst/man/asAnscombe.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/checkmakeIC.Rd
   pkg/ROptEst/man/cniperCont.Rd
   pkg/ROptEst/man/comparePlot.Rd
   pkg/ROptEst/man/getAsRisk.Rd
   pkg/ROptEst/man/getIneffDiff.Rd
   pkg/ROptEst/man/getInfGamma.Rd
   pkg/ROptEst/man/getMaxIneff.Rd
   pkg/ROptEst/man/inputGenerator.Rd
   pkg/ROptEst/man/leastFavorableRadius.Rd
   pkg/ROptEst/man/optIC.Rd
   pkg/ROptEst/man/radiusMinimaxIC.Rd
   pkg/ROptEst/man/robest.Rd
   pkg/ROptEst/man/roptest.Rd
Log:
[ROptEst] trunk:
+ in files getInfGamma.Rd and inputGenerator.Rd we now have a 
  value field; as it describes the return values of several methods/
  functions, this is more a verbal description than 
  a description of the actual return type (although this is also
  specified).
+ in our examples to comparePlot(), robest(), and roptest(), 
  we had valid code with long runtimes (>5 sec) 
  which we had put into \dontrun; this code is now moved to 
  file 'examples_taking_longer.R' shipped out in folder 
  [inst/]scripts to this package and referred to in the
  example section    
+ added some more references
+ removed the standardtexts (in comments) in your .Rd-files
  man/asAnscombe.Rd;  man/asL1.Rd; man/asL4.Rd
+ added dois to references where available


Modified: pkg/ROptEst/man/0ROptEst-package.Rd
===================================================================
--- pkg/ROptEst/man/0ROptEst-package.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/0ROptEst-package.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -30,9 +30,24 @@
 Maintainer: Matthias Kohl  \email{matthias.kohl at stamats.de}}
 \references{
   M. Kohl (2005). Numerical Contributions to the Asymptotic Theory of Robustness.
-  Dissertation. University of Bayreuth.
-  M. Kohl, P. Ruckdeschel, H. Rieder (2010). Infinitesimally Robust Estimation in 
-  General Smoothly Parametrized Models. Statistical Methods and Application 19(3):333-354. 
+  Dissertation. University of Bayreuth. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
+
+  M. Kohl, P. Ruckdeschel, and H. Rieder (2010). Infinitesimally Robust Estimation in 
+  General Smoothly Parametrized Models. Statistical Methods and Applications \emph{19}(3): 333-354.
+  \doi{10.1007/s10260-010-0133-0}.
+
+  H. Rieder (1994): Robust Asymptotic Statistics. Springer. 
+  \doi{10.1007/978-1-4684-0624-5}
+
+  H. Rieder, M. Kohl, and P. Ruckdeschel (2008). The Costs of Not Knowing the Radius.
+  Statistical Methods and Applications  \emph{17}(1): 13-40. \doi{10.1007/s10260-007-0047-7}
+
+  P. Ruckdeschel (2005). Optimally One-Sided Bounded Influence Curves.
+  Mathematical Methods of Statistics \emph{14}(1), 105-131.
+
+  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}
 }
 \seealso{
 \code{\link[distr:0distr-package]{distr-package}}, 

Modified: pkg/ROptEst/man/ORobEstimate-class.Rd
===================================================================
--- pkg/ROptEst/man/ORobEstimate-class.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/ORobEstimate-class.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -154,10 +154,7 @@
     \item{show}{\code{signature(object = "ORobEstimate")}: a show method; [*]}
   }
 }
-%\references{}
 \author{Peter Ruckdeschel \email{Peter.Ruckdeschel at uni-oldenburg.de}}
-%\note{}
 \seealso{\code{\link{ALEstimate-class}}, \code{\link{kStepEstimate-class}}}
-%\examples{}
 \concept{estimate}
 \keyword{classes}

Modified: pkg/ROptEst/man/RMXEOMSEMBREOBRE.Rd
===================================================================
--- pkg/ROptEst/man/RMXEOMSEMBREOBRE.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/RMXEOMSEMBREOBRE.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -219,21 +219,24 @@
        an attribute \code{"timings"} where computation time is stored.}
 \references{
   Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  Bayreuth: Dissertation. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
 
   Kohl, M. and Ruckdeschel, P. (2010): R package distrMod: 
   Object-Oriented Implementation of Probability Models. 
-  J. Statist. Softw.  \bold{35}(10), 1--27
+  J. Statist. Softw.  \bold{35}(10), 1--27. \doi{10.18637/jss.v035.i10}.
   
   Kohl, M. and Ruckdeschel, P., and Rieder, H. (2010):
   Infinitesimally Robust Estimation in General Smoothly Parametrized Models.
   \emph{Stat. Methods Appl.}, \bold{19}, 333--354. 
+  \doi{10.1007/s10260-010-0133-0}.
 
   Rieder, H. (1994) \emph{Robust Asymptotic Statistics}. New York: Springer.
+  \doi{10.1007/978-1-4684-0624-5}.
 
   Rieder, H., Kohl, M. and Ruckdeschel, P. (2008) The Costs of not Knowing
   the Radius. Statistical Methods and Applications \bold{17}(1) 13-40.
-
+  \doi{10.1007/s10260-007-0047-7}.
+  
   Rieder, H., Kohl, M. and Ruckdeschel, P. (2001) The Costs of not Knowing
   the Radius. Appeared as discussion paper Nr. 81. 
   SFB 373 (Quantification and Simulation of Economic Processes),

Modified: pkg/ROptEst/man/asAnscombe-class.Rd
===================================================================
--- pkg/ROptEst/man/asAnscombe-class.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/asAnscombe-class.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -36,13 +36,19 @@
     \item{show}{\code{signature(object = "asAnscombe")}}
   }
 }
-\references{Hampel et al. (1986) \emph{Robust Statistics}. 
+\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.
-  
-  Rieder, H. (1994) \emph{Robust Asymptotic Statistics}. New York: Springer.
+  \doi{10.1002/9781118186435}.
 
-  Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  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{}

Modified: pkg/ROptEst/man/asAnscombe.Rd
===================================================================
--- pkg/ROptEst/man/asAnscombe.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/asAnscombe.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -11,19 +11,22 @@
   \item{biastype}{ a bias type of class \code{BiasType}}
   \item{normtype}{ a norm type of class \code{NormType}}
 }
-%\details{}
 \value{Object of class \code{asAnscombe}}
 \references{
-  Hampel et al. (1986) \emph{Robust Statistics}. 
+  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.
-  
-  Rieder, H. (1994) \emph{Robust Asymptotic Statistics}. New York: Springer.
+  \doi{10.1002/9781118186435}.
 
-  Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  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{asAnscombe-class}}}
 \examples{
 asAnscombe()

Modified: pkg/ROptEst/man/asL1-class.Rd
===================================================================
--- pkg/ROptEst/man/asL1-class.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/asL1-class.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -29,8 +29,9 @@
 No methods defined with class "asL1" in the signature.
 }
 \references{
-  Ruckdeschel, P. and Rieder, H. (2004) Optimal Influence Curves for
+  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{}

Modified: pkg/ROptEst/man/asL1.Rd
===================================================================
--- pkg/ROptEst/man/asL1.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/asL1.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -11,14 +11,13 @@
   \item{normtype}{ a norm type of class \code{NormType}}
 }
 
-%\details{}
 \value{Object of class \code{"asMSE"}}
 \references{ 
-  Ruckdeschel, P. and Rieder, H. (2004) Optimal Influence Curves for
+  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{asL1-class}}, \code{\link{asMSE}}, \code{\link{asL4}}}
 \examples{
 asL1()

Modified: pkg/ROptEst/man/asL4-class.Rd
===================================================================
--- pkg/ROptEst/man/asL4-class.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/asL4-class.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -29,8 +29,9 @@
 No methods defined with class "asL4" in the signature.
 }
 \references{
-  Ruckdeschel, P. and Rieder, H. (2004) Optimal Influence Curves for
+  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{}

Modified: pkg/ROptEst/man/asL4.Rd
===================================================================
--- pkg/ROptEst/man/asL4.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/asL4.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -11,14 +11,13 @@
   \item{normtype}{ a norm type of class \code{NormType}}
 }
 
-%\details{}
 \value{Object of class \code{"asL4"}}
 \references{ 
-  Ruckdeschel, P. and Rieder, H. (2004) Optimal Influence Curves for
+  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{asL4-class}}, \code{\link{asMSE}}, \code{\link{asL1}}}
 \examples{
 asL4()

Modified: pkg/ROptEst/man/checkmakeIC.Rd
===================================================================
--- pkg/ROptEst/man/checkmakeIC.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/checkmakeIC.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -54,10 +54,15 @@
 }
 \value{The maximum deviation from the IC properties is returned.}
 \references{
-  Rieder, H. (1994) \emph{Robust Asymptotic Statistics}. New York: Springer.
-
-  Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  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}.
+  
+  M. Kohl, P. Ruckdeschel, and H. Rieder (2010). Infinitesimally Robust Estimation in 
+  General Smoothly Parametrized Models. Statistical Methods and Applications \emph{19}(3): 333-354.
+  \doi{10.1007/s10260-010-0133-0}.
+  
+  H. Rieder (1994): \emph{Robust Asymptotic Statistics.} Springer. 
+  \doi{10.1007/978-1-4684-0624-5}
 }
 \author{Peter Ruckdeschel \email{Peter.Ruckdeschel at uni-oldenburg.de}}
 %\note{}

Modified: pkg/ROptEst/man/cniperCont.Rd
===================================================================
--- pkg/ROptEst/man/cniperCont.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/cniperCont.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -199,14 +199,14 @@
 
 }
 \references{
-  Kohl, M. and Ruckdeschel, H. and Rieder, H. (2008). Infinitesimally 
-  Robust Estimation in General Smoothly Parametrized Models. Unpublished
-  Manuscript.
+  M. Kohl (2005). Numerical Contributions to the Asymptotic Theory of Robustness.
+  Dissertation. University of Bayreuth. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
 
-  Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  M. Kohl, P. Ruckdeschel, and H. Rieder (2010). Infinitesimally Robust Estimation in 
+  General Smoothly Parametrized Models. Statistical Methods and Applications \emph{19}(3): 333-354.
+  \doi{10.1007/s10260-010-0133-0}.
 
-  Ruckdeschel, P. (2004). Higher Order Asymptotics for the MSE of M-Estimators
+  P. Ruckdeschel (2004). Higher Order Asymptotics for the MSE of M-Estimators
   on Shrinking Neighborhoods. Unpublished Manuscript.
 }
 \author{Matthias Kohl \email{Matthias.Kohl at stamats.de}}

Modified: pkg/ROptEst/man/comparePlot.Rd
===================================================================
--- pkg/ROptEst/man/comparePlot.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/comparePlot.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -17,16 +17,10 @@
 to determine the number of evaluation points.
 }
 \examples{
-N0 <- NormLocationScaleFamily(mean=0, sd=1)
-N0.Rob1 <- InfRobModel(center = N0,
-           neighbor = ContNeighborhood(radius = 0.5))
-
-## Don't run to reduce check time on CRAN
-\dontrun{
-IC1 <- optIC(model = N0, risk = asCov())
-IC2 <- optIC(model = N0.Rob1, risk = asMSE())
-
-comparePlot(IC1,IC2, withMBR=TRUE)
+## all (interesting) examples to this function need
+## more time than 5 seconds;
+## you can find them in 
+## system.file("scripts", "examples_taking_longer.R", 
+##              package="ROptEst")
 }
-}
 \keyword{robust}

Modified: pkg/ROptEst/man/getAsRisk.Rd
===================================================================
--- pkg/ROptEst/man/getAsRisk.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/getAsRisk.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -237,16 +237,22 @@
     function \code{getInfRobIC}. }
 }}
 \references{
-  Rieder, H. (1994) \emph{Robust Asymptotic Statistics}. New York: Springer.
+  M. Kohl (2005). Numerical Contributions to the Asymptotic Theory of Robustness.
+  Dissertation. University of Bayreuth. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
 
-  Ruckdeschel, P. and Rieder, H. (2004) Optimal Influence Curves for
-  General Loss Functions. Statistics & Decisions \emph{22}, 201-223.
+  M. Kohl, P. Ruckdeschel, and H. Rieder (2010). Infinitesimally Robust Estimation in 
+  General Smoothly Parametrized Models. Statistical Methods and Applications \emph{19}(3): 333-354.
+  \doi{10.1007/s10260-010-0133-0}.
 
-  Ruckdeschel, P. (2005) Optimally One-Sided Bounded Influence Curves.
-  Mathematical Methods in Statistics \emph{14}(1), 105-131.
+  H. Rieder (1994): Robust Asymptotic Statistics. Springer. 
+  \doi{10.1007/978-1-4684-0624-5}
 
-  Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  P. Ruckdeschel (2005). Optimally One-Sided Bounded Influence Curves.
+  Mathematical Methods of Statistics \emph{14}(1), 105-131.
+
+  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{Matthias Kohl \email{Matthias.Kohl at stamats.de}}
 %\note{}

Modified: pkg/ROptEst/man/getIneffDiff.Rd
===================================================================
--- pkg/ROptEst/man/getIneffDiff.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/getIneffDiff.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -76,17 +76,25 @@
      the boundaries of a given radius interval.}
 }}
 \references{ 
-  Rieder, H., Kohl, M. and Ruckdeschel, P. (2008) The Costs of not Knowing
+  M. Kohl (2005). \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
+  Bayreuth: Dissertation. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
+
+  H. Rieder, M. Kohl, and P. Ruckdeschel (2008). The Costs of not Knowing
   the Radius. Statistical Methods and Applications, \emph{17}(1) 13-40.
+  \doi{10.1007/s10260-007-0047-7}.
 
-  Rieder, H., Kohl, M. and Ruckdeschel, P. (2001) The Costs of not Knowing
-  the Radius. Submitted. Appeared as discussion paper Nr. 81. 
+  H. Rieder, M. Kohl, and P. Ruckdeschel (2001). The Costs of not Knowing
+  the Radius. Appeared as discussion paper Nr. 81. 
   SFB 373 (Quantification and Simulation of Economic Processes),
   Humboldt University, Berlin; also available under
-  \doi{10.18452/3638}
+  \doi{10.18452/3638}.
 
-  Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  P. Ruckdeschel (2005). Optimally One-Sided Bounded Influence Curves.
+  Mathematical Methods of Statistics \emph{14}(1), 105-131.
+
+  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{Matthias Kohl \email{Matthias.Kohl at stamats.de}}
 %\note{}

Modified: pkg/ROptEst/man/getInfGamma.Rd
===================================================================
--- pkg/ROptEst/man/getInfGamma.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/getInfGamma.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -57,7 +57,13 @@
   The function is used in case of asymptotic G-risks; confer
   Ruckdeschel and Rieder (2004).
 }
-%\value{}
+\value{The optimal clipping height is computed. More spefically, the optimal
+ clipping height \eqn{b} is determined in a zero search of a certain function
+ \eqn{\gamma}{gamma}, where the respective  \code{getInf}-method will return 
+ the value of  \eqn{\gamma(b)}{gamma(b)}. The actual function \eqn{\gamma}{gamma}
+ varies according to whether the parameter is one dimensional or higher dimensional,
+ according to the risk, according to the neighborhood, and according to the
+ bias type, which leads to the different methods.}
 \section{Methods}{
 \describe{
   \item{L2deriv = "UnivariateDistribution", risk = "asGRisk", 

Modified: pkg/ROptEst/man/getMaxIneff.Rd
===================================================================
--- pkg/ROptEst/man/getMaxIneff.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/getMaxIneff.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -31,17 +31,26 @@
   Hampel et al. (1986) \emph{Robust Statistics}. 
   The Approach Based on Influence Functions. New York: Wiley.
   
-  Rieder, H. (1994) \emph{Robust Asymptotic Statistics}. New York: Springer.
-  
-  Rieder, H., Kohl, M. and Ruckdeschel, P. (2008) The Costs of not Knowing
-  the Radius. Statistical Methods and Applications \emph{17}(1) 13-40.
+  M. Kohl (2005). \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
+  Bayreuth: Dissertation. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
 
-  Rieder, H., Kohl, M. and Ruckdeschel, P. (2001) The Costs of not Knowing
-  the Radius. Submitted. Appeared as discussion paper Nr. 81. 
+  H. Rieder, M. Kohl, and P. Ruckdeschel (2008). The Costs of not Knowing
+  the Radius. Statistical Methods and Applications, \emph{17}(1) 13-40.
+  \doi{10.1007/s10260-007-0047-7}.
+
+  H. Rieder, M. Kohl, and P. Ruckdeschel (2001). The Costs of not Knowing
+  the Radius. Appeared as discussion paper Nr. 81. 
   SFB 373 (Quantification and Simulation of Economic Processes),
   Humboldt University, Berlin; also available under
-  \doi{10.18452/3638}
+  \doi{10.18452/3638}.
 
+  P. Ruckdeschel (2005). Optimally One-Sided Bounded Influence Curves.
+  Mathematical Methods of Statistics \emph{14}(1), 105-131.
+
+  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 fraunhofer.itwm.de}}
 %\note{}

Modified: pkg/ROptEst/man/inputGenerator.Rd
===================================================================
--- pkg/ROptEst/man/inputGenerator.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/inputGenerator.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -97,6 +97,12 @@
   which can be used as arguments in function \code{\link{robest}}.
   For details, see this function.
 }
+\value{
+ A list of arguments to be (re-)used as (structured) input for function \code{robest};
+ more specifically, all arguments of the respective function are bundled into
+ a list, where arguments not explicitly specified in the call are filled with 
+ corresponding defaults as given in the usage section of this help file.
+ }
 \author{Matthias Kohl \email{Matthias.Kohl at stamats.de},\cr
         Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
 %\note{}

Modified: pkg/ROptEst/man/leastFavorableRadius.Rd
===================================================================
--- pkg/ROptEst/man/leastFavorableRadius.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/leastFavorableRadius.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -52,20 +52,25 @@
         risk = "asGRisk"}{ computation of the least favorable radius. }
 }}
 \references{ 
-  Rieder, H., Kohl, M. and Ruckdeschel, P. (2008) The Costs of not Knowing
-  the Radius. Statistical Methods and Applications \emph{17}(1) 13-40.
+  M. Kohl (2005). \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
+  Bayreuth: Dissertation. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
 
-  Rieder, H., Kohl, M. and Ruckdeschel, P. (2001) The Costs of not Knowing
-  the Radius. Submitted. Appeared as discussion paper Nr. 81. 
+  H. Rieder, M. Kohl, and P. Ruckdeschel (2008). The Costs of not Knowing
+  the Radius. Statistical Methods and Applications, \emph{17}(1) 13-40.
+  \doi{10.1007/s10260-007-0047-7}.
+
+  H. Rieder, M. Kohl, and P. Ruckdeschel (2001). The Costs of not Knowing
+  the Radius. Appeared as discussion paper Nr. 81. 
   SFB 373 (Quantification and Simulation of Economic Processes),
   Humboldt University, Berlin; also available under
-  \doi{10.18452/3638}
+  \doi{10.18452/3638}.
 
-  Ruckdeschel, P. (2005) Optimally One-Sided Bounded Influence Curves.
-  Mathematical Methods in Statistics \emph{14}(1), 105-131.
+  P. Ruckdeschel (2005). Optimally One-Sided Bounded Influence Curves.
+  Mathematical Methods of Statistics \emph{14}(1), 105-131.
 
-  Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  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{Matthias Kohl \email{Matthias.Kohl at stamats.de},
 Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}

Modified: pkg/ROptEst/man/optIC.Rd
===================================================================
--- pkg/ROptEst/man/optIC.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/optIC.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -96,33 +96,35 @@
     finite-sample under-/overshoot risk. }
 }}
 \references{
- 
+
   Huber, P.J. (1968) Robust Confidence Limits. Z. Wahrscheinlichkeitstheor.
   Verw. Geb. \bold{10}:269--278.
 
   Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  Bayreuth: Dissertation. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
 
   Kohl, M. and Ruckdeschel, P. (2010): R package distrMod: 
   Object-Oriented Implementation of Probability Models. 
-  J. Statist. Softw.  \bold{35}(10), 1--27
+  J. Statist. Softw.  \bold{35}(10), 1--27. \doi{10.18637/jss.v035.i10}.
   
   Kohl, M. and Ruckdeschel, P., and Rieder, H. (2010):
   Infinitesimally Robust Estimation in General Smoothly Parametrized Models.
-  \emph{Stat. Methods Appl.}, \bold{19}, 333--354. 
+  \emph{Stat. Methods Appl.}, \bold{19}, 333--354.  \doi{10.1007/s10260-010-0133-0}.
   
   Rieder, H. (1980) Estimates derived from robust tests. Ann. Stats. \bold{8}: 106--115.
 
   Rieder, H. (1994) \emph{Robust Asymptotic Statistics}. New York: Springer.
+  \doi{10.1007/978-1-4684-0624-5}.
 
   Rieder, H., Kohl, M. and Ruckdeschel, P. (2008) The Costs of not Knowing
   the Radius. Statistical Methods and Applications \bold{17}(1) 13-40.
+  \doi{10.1007/s10260-007-0047-7}.
 
   Rieder, H., Kohl, M. and Ruckdeschel, P. (2001) The Costs of not Knowing
   the Radius. Appeared as discussion paper Nr. 81. 
   SFB 373 (Quantification and Simulation of Economic Processes),
   Humboldt University, Berlin; also available under
-  \doi{10.18452/3638}
+  \doi{10.18452/3638}.
 }
 \author{Matthias Kohl \email{Matthias.Kohl at stamats.de}}
 %\note{}

Modified: pkg/ROptEst/man/radiusMinimaxIC.Rd
===================================================================
--- pkg/ROptEst/man/radiusMinimaxIC.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/radiusMinimaxIC.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -76,17 +76,25 @@
     computation of the radius minimax IC for an L2 differentiable parametric family. }
 }}
 \references{ 
-  Rieder, H., Kohl, M. and Ruckdeschel, P. (2008) The Costs of not Knowing
+  M. Kohl (2005). \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
+  Bayreuth: Dissertation. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
+
+  H. Rieder, M. Kohl, and P. Ruckdeschel (2008). The Costs of not Knowing
   the Radius. Statistical Methods and Applications, \emph{17}(1) 13-40.
+  \doi{10.1007/s10260-007-0047-7}.
 
-  Rieder, H., Kohl, M. and Ruckdeschel, P. (2001) The Costs of not Knowing
+  H. Rieder, M. Kohl, and P. Ruckdeschel (2001). The Costs of not Knowing
   the Radius. Appeared as discussion paper Nr. 81. 
   SFB 373 (Quantification and Simulation of Economic Processes),
   Humboldt University, Berlin; also available under
-  \doi{10.18452/3638}
+  \doi{10.18452/3638}.
 
-  Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  P. Ruckdeschel (2005). Optimally One-Sided Bounded Influence Curves.
+  Mathematical Methods of Statistics \emph{14}(1), 105-131.
+
+  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{Matthias Kohl \email{Matthias.Kohl at stamats.de},
 Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}

Modified: pkg/ROptEst/man/robest.Rd
===================================================================
--- pkg/ROptEst/man/robest.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/robest.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -79,11 +79,38 @@
        an attribute \code{"timings"} where computation time is stored.}
 \author{Matthias Kohl \email{Matthias.Kohl at stamats.de},\cr
         Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}}
-%\note{}
 \seealso{ \code{\link[RobLox]{roblox}}, 
           \code{\link[distrMod]{L2ParamFamily-class}}
           \code{\link[RobAStBase]{UncondNeighborhood-class}},
           \code{\link[distrMod]{RiskType-class}} }
+
+\references{
+  Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
+  Bayreuth: Dissertation. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
+
+  Kohl, M. and Ruckdeschel, P. (2010): R package distrMod: 
+  Object-Oriented Implementation of Probability Models. 
+  J. Statist. Softw.  \bold{35}(10), 1--27. \doi{10.18637/jss.v035.i10}.
+  
+  Kohl, M. and Ruckdeschel, P., and Rieder, H. (2010):
+  Infinitesimally Robust Estimation in General Smoothly Parametrized Models.
+  \emph{Stat. Methods Appl.}, \bold{19}, 333--354. 
+  \doi{10.1007/s10260-010-0133-0}.
+
+  Rieder, H. (1994) \emph{Robust Asymptotic Statistics}. New York: Springer.
+  \doi{10.1007/978-1-4684-0624-5}.
+
+  Rieder, H., Kohl, M. and Ruckdeschel, P. (2008) The Costs of not Knowing
+  the Radius. Statistical Methods and Applications \bold{17}(1) 13-40.
+  \doi{10.1007/s10260-007-0047-7}.
+  
+  Rieder, H., Kohl, M. and Ruckdeschel, P. (2001) The Costs of not Knowing
+  the Radius. Appeared as discussion paper Nr. 81. 
+  SFB 373 (Quantification and Simulation of Economic Processes),
+  Humboldt University, Berlin; also available under
+  \doi{10.18452/3638}
+}
+
 \examples{
 ## Don't test to reduce check time on CRAN
 \donttest{
@@ -175,62 +202,15 @@
 #############################
 ## 3. Normal (Gaussian) location and scale
 #############################
-## 24 determinations of copper in wholemeal flour
-library(MASS)
-data(chem)
-plot(chem, main = "copper in wholemeal flour", pch = 20)
 
-## Family
-NF <- NormLocationScaleFamily()
-## ML-estimate
-MLest <- MLEstimator(chem, NF)
-estimate(MLest)
-confint(MLest)
+## this example of a two dimensional parameter
+## to be estimated will need more time than 
+## 5 seconds to run 
+## you can find it in 
+## system.file("scripts", "examples_taking_longer.R", 
+##              package="ROptEst")
 
-## Don't run to reduce check time on CRAN
-\dontrun{
-## compute optimally robust estimator (known contamination)
-## takes some time -> you can use package RobLox for normal 
-## location and scale which is optimized for speed
-nb1 <- gennbCtrl(eps = 0.05)
-robEst <- robest(chem, NF, nbCtrl = nb1, steps = 3)
-estimate.call(robEst)
-attr(robEst,"timings")
-estimate(robest)
-
-confint(robest, symmetricBias())
-plot(pIC(robest))
-## plot of relative and absolute information; cf. Kohl (2005)
-infoPlot(pIC(robest))
-
-tmp <- qqplot(chem, robest, cex.pch=1.5, exp.cex2.pch = -.25,
-              exp.fadcol.pch = .55, withLab = TRUE, which.Order=1:4,
-              exp.cex2.lbl = .12,exp.fadcol.lbl = .45,
-              nosym.pCI = TRUE, adj.lbl=c(1.7,.2),
-              exact.pCI = FALSE, log ="xy")
-             
-## finite-sample correction
-if(require(RobLox)){
-    n <- length(chem)
-    r <- 0.05*sqrt(n)
-    r.fi <- finiteSampleCorrection(n = n, r = r)
-    fsCor0 <- r.fi/r
-    nb1 <- gennbCtrl(eps = 0.05)
-    robest <- robest(chem, NF, nbCtrl = nb1, fsCor = fsCor0, steps = 3)
-    estimate(robest)
 }
-
-## compute optimally robust estimator (unknown contamination)
-## takes some time -> use package RobLox!
-nb2 <- gennbCtrl(eps.lower = 0.05, eps.upper = 0.1)
-robest1 <- robest(chem, NF, nbCtrl = nb2, steps = 3)
-estimate(robest1)
-confint(robest1, symmetricBias())
-plot(pIC(robest1))
-## plot of relative and absolute information; cf. Kohl (2005)
-infoPlot(pIC(robest1))
-}
-}
 \concept{k-step construction}
 \concept{optimally robust estimation}
 \keyword{robust}

Modified: pkg/ROptEst/man/roptest.Rd
===================================================================
--- pkg/ROptEst/man/roptest.Rd	2024-02-06 18:52:28 UTC (rev 1274)
+++ pkg/ROptEst/man/roptest.Rd	2024-02-06 19:54:21 UTC (rev 1275)
@@ -223,21 +223,24 @@
        an attribute \code{"timings"} where computation time is stored.}
 \references{
   Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}. 
-  Bayreuth: Dissertation.
+  Bayreuth: Dissertation. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
 
   Kohl, M. and Ruckdeschel, P. (2010): R package distrMod: 
   Object-Oriented Implementation of Probability Models. 
-  J. Statist. Softw.  \bold{35}(10), 1--27
+  J. Statist. Softw.  \bold{35}(10), 1--27. \doi{10.18637/jss.v035.i10}.
   
   Kohl, M. and Ruckdeschel, P., and Rieder, H. (2010):
   Infinitesimally Robust Estimation in General Smoothly Parametrized Models.
   \emph{Stat. Methods Appl.}, \bold{19}, 333--354. 
+  \doi{10.1007/s10260-010-0133-0}.
 
   Rieder, H. (1994) \emph{Robust Asymptotic Statistics}. New York: Springer.
+  \doi{10.1007/978-1-4684-0624-5}.
 
   Rieder, H., Kohl, M. and Ruckdeschel, P. (2008) The Costs of not Knowing
   the Radius. Statistical Methods and Applications \bold{17}(1) 13-40.
-
+  \doi{10.1007/s10260-007-0047-7}.
+  
   Rieder, H., Kohl, M. and Ruckdeschel, P. (2001) The Costs of not Knowing
   the Radius. Appeared as discussion paper Nr. 81. 
   SFB 373 (Quantification and Simulation of Economic Processes),
@@ -332,56 +335,15 @@
 #############################
 ## 3. Normal (Gaussian) location and scale
 #############################
-## 24 determinations of copper in wholemeal flour
-library(MASS)
-data(chem)
-plot(chem, main = "copper in wholemeal flour", pch = 20)
 
-## ML-estimate
-MLest <- MLEstimator(chem, NormLocationScaleFamily())
-estimate(MLest)
-confint(MLest)
+## this example of a two dimensional parameter
+## to be estimated will need more time than 
+## 5 seconds to run 
+## you can find it in 
+## system.file("scripts", "examples_taking_longer.R", 
+##              package="ROptEst")
 
-## Don't run to reduce check time on CRAN
-\donttest{
-## compute optimally robust estimator (known contamination)
-## takes some time -> you can use package RobLox for normal 
-## location and scale which is optimized for speed
-robest <- roptest(chem, NormLocationScaleFamily(), eps = 0.05, steps = 3)
-estimate(robest)
-confint(robest, symmetricBias())
-plot(pIC(robest))
-## plot of relative and absolute information; cf. Kohl (2005)
-infoPlot(pIC(robest))
-
-tmp <- qqplot(chem, robest, cex.pch=1.5, exp.cex2.pch = -.25,
-              exp.fadcol.pch = .55, withLab = TRUE, which.Order=1:4,
-              exp.cex2.lbl = .12,exp.fadcol.lbl = .45,
-              nosym.pCI = TRUE, adj.lbl=c(1.7,.2),
-              exact.pCI = FALSE, log ="xy")
-
-## finite-sample correction
-if(require(RobLox)){
-    n <- length(chem)
-    r <- 0.05*sqrt(n)
-    r.fi <- finiteSampleCorrection(n = n, r = r)
-    fsCor <- r.fi/r
-    robest <- roptest(chem, NormLocationScaleFamily(), eps = 0.05, 
-                      fsCor = fsCor, steps = 3)
-    estimate(robest)
 }
-
-## compute optimally robust estimator (unknown contamination)
-## takes some time -> use package RobLox!
-robest1 <- roptest(chem, NormLocationScaleFamily(), eps.lower = 0.05, 
-                   eps.upper = 0.1, steps = 3)
-estimate(robest1)
-confint(robest1, symmetricBias())
-plot(pIC(robest1))
-## plot of relative and absolute information; cf. Kohl (2005)
-infoPlot(pIC(robest1))
-}
-}
 \concept{k-step construction}
 \concept{optimally robust estimation}
 \keyword{robust}



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