[Robast-commits] r1271 - in pkg/RobLox: . inst man

Sun Feb 4 09:41:05 CET 2024

Author: stamats
Date: 2024-02-04 09:41:04 +0100 (Sun, 04 Feb 2024)
New Revision: 1271

Modified:
   pkg/RobLox/DESCRIPTION
   pkg/RobLox/inst/NEWS
   pkg/RobLox/man/0RobLox-package.Rd
Log:
minor updates for submission

Modified: pkg/RobLox/DESCRIPTION
===================================================================

--- pkg/RobLox/DESCRIPTION	2024-02-04 08:24:59 UTC (rev 1270)
+++ pkg/RobLox/DESCRIPTION	2024-02-04 08:41:04 UTC (rev 1271)
@@ -1,6 +1,6 @@
 Package: RobLox
-Version: 1.2.0
-Date: 2019-04-02
+Version: 1.2.1
+Date: 2024-02-04
 Title: Optimally Robust Influence Curves and Estimators for Location and Scale
 Description: Functions for the determination of optimally robust influence curves and
             estimators in case of normal location and/or scale.
@@ -12,7 +12,6 @@
             "cph")))
 ByteCompile: yes
 License: LGPL-3
-Encoding: latin1
 URL: http://robast.r-forge.r-project.org/
 LastChangedDate: {$LastChangedDate$}
 LastChangedRevision: {$LastChangedRevision$}

Modified: pkg/RobLox/inst/NEWS
===================================================================
--- pkg/RobLox/inst/NEWS	2024-02-04 08:24:59 UTC (rev 1270)
+++ pkg/RobLox/inst/NEWS	2024-02-04 08:41:04 UTC (rev 1271)
@@ -15,6 +15,9 @@
 + the modifyIC functions gain argument withMakeIC to be consistent with the signature in RobAStBase
   (the arg is ignored in the RobLox Code)
 + The warnings as to moved ICs have been condensed
++ removed encoding
++ removed details table from package Rd-file, not really necessary as the
+  information is also provided by default in the refmans.
 
 #######################################
 version 1.1

Modified: pkg/RobLox/man/0RobLox-package.Rd
===================================================================
--- pkg/RobLox/man/0RobLox-package.Rd	2024-02-04 08:24:59 UTC (rev 1270)
+++ pkg/RobLox/man/0RobLox-package.Rd	2024-02-04 08:41:04 UTC (rev 1271)
@@ -1,69 +1,55 @@
-\name{RobLox-package}
-\alias{RobLox-package}
-\alias{RobLox}
-\docType{package}
-\title{
-Optimally robust influence curves and estimators for location and scale
-}
-\description{
-Functions for the determination of optimally robust influence curves and 
-estimators in case of normal location and/or scale.
-}
-\details{
-\tabular{ll}{
-Package: \tab RobLox \cr
-Version: \tab 1.2.0 \cr
-Date: \tab 2019-04-02 \cr
-Depends: \tab R(>= 3.4), stats, distrMod(>= 2.8.0), RobAStBase(>= 1.2.0) \cr
-Imports: \tab methods, lattice, RColorBrewer, Biobase, RandVar(>= 1.2.0), distr(>= 2.8.0) \cr
-Suggests: \tab MASS \cr
-ByteCompile: \tab yes \cr
-License: \tab LGPL-3 \cr
-URL: \tab http://robast.r-forge.r-project.org/\cr
-VCS/SVNRevision: \tab 1214 \cr
-}
-}
-\author{Matthias Kohl  \email{matthias.kohl at stamats.de}}
-\references{
-  M. Kohl (2005). Numerical Contributions to the Asymptotic Theory of Robustness.
-  Dissertation. University of Bayreuth.
-  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. \emph{Statistical Methods and Applications} \bold{17}(1) 13-40.
-  Extended version: \url{http://r-kurs.de/RRlong.pdf}
-  
-  M. Kohl, P. Ruckdeschel, and H. Rieder (2010). Infinitesimally Robust Estimation 
-  in General Smoothly Parametrized Models. \emph{Statistical Methods and Application}, 
-  \bold{19}(3):333-354. 
-}
-\seealso{ \code{\link[RobAStBase:0RobAStBase-package]{RobAStBase-package}} }
-\section{Package versions}{
-Note: The first two numbers of package versions do not necessarily reflect
- package-individual development, but rather are chosen for the
- RobAStXXX family as a whole in order to ease updating "depends"
- information.
-}
-\examples{
-library(RobLox)
-ind <- rbinom(100, size=1, prob=0.05) 
-x <- rnorm(100, mean=ind*3, sd=(1-ind) + ind*9)
-roblox(x)
-res <- roblox(x, eps.lower = 0.01, eps.upper = 0.1, returnIC = TRUE)
-estimate(res)
-confint(res)
-confint(res, method = symmetricBias())
-pIC(res)
-## don't run to reduce check time on CRAN
-\dontrun{
-checkIC(pIC(res))
-Risks(pIC(res))
-Infos(pIC(res))
-plot(pIC(res))
-infoPlot(pIC(res))
-}
-## row-wise application
-ind <- rbinom(200, size=1, prob=0.05) 
-X <- matrix(rnorm(200, mean=ind*3, sd=(1-ind) + ind*9), nrow = 2)
-rowRoblox(X)
-}
-\keyword{package}
+\name{RobLox-package}
+\alias{RobLox-package}
+\alias{RobLox}
+\docType{package}
+\title{
+Optimally robust influence curves and estimators for location and scale
+}
+\description{
+Functions for the determination of optimally robust influence curves and 
+estimators in case of normal location and/or scale.
+}
+\author{Matthias Kohl  \email{matthias.kohl at stamats.de}}
+\references{
+  M. Kohl (2005). Numerical Contributions to the Asymptotic Theory of Robustness.
+  Dissertation. University of Bayreuth.
+  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. \emph{Statistical Methods and Applications} \bold{17}(1) 13-40.
+  Extended version: \url{http://r-kurs.de/RRlong.pdf}
+  
+  M. Kohl, P. Ruckdeschel, and H. Rieder (2010). Infinitesimally Robust Estimation 
+  in General Smoothly Parametrized Models. \emph{Statistical Methods and Application}, 
+  \bold{19}(3):333-354. 
+}
+\seealso{ \code{\link[RobAStBase:0RobAStBase-package]{RobAStBase-package}} }
+\section{Package versions}{
+Note: The first two numbers of package versions do not necessarily reflect
+ package-individual development, but rather are chosen for the
+ RobAStXXX family as a whole in order to ease updating "depends"
+ information.
+}
+\examples{
+library(RobLox)
+ind <- rbinom(100, size=1, prob=0.05) 
+x <- rnorm(100, mean=ind*3, sd=(1-ind) + ind*9)
+roblox(x)
+res <- roblox(x, eps.lower = 0.01, eps.upper = 0.1, returnIC = TRUE)
+estimate(res)
+confint(res)
+confint(res, method = symmetricBias())
+pIC(res)
+## don't run to reduce check time on CRAN
+\dontrun{
+checkIC(pIC(res))
+Risks(pIC(res))
+Infos(pIC(res))
+plot(pIC(res))
+infoPlot(pIC(res))
+}
+## row-wise application
+ind <- rbinom(200, size=1, prob=0.05) 
+X <- matrix(rnorm(200, mean=ind*3, sd=(1-ind) + ind*9), nrow = 2)
+rowRoblox(X)
+}
+\keyword{package}

