[Robast-commits] r1215 - in pkg: ROptEst ROptEst/man ROptEstOld ROptRegTS RandVar RandVar/man RobAStBase RobAStBase/man RobExtremes RobExtremes/man RobLox RobLox/man RobLoxBioC RobLoxBioC/man RobRex
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Tue Apr 2 21:10:23 CEST 2019
Author: ruckdeschel
Date: 2019-04-02 21:10:23 +0200 (Tue, 02 Apr 2019)
New Revision: 1215
Modified:
pkg/ROptEst/DESCRIPTION
pkg/ROptEst/man/0ROptEst-package.Rd
pkg/ROptEstOld/DESCRIPTION
pkg/ROptRegTS/DESCRIPTION
pkg/RandVar/DESCRIPTION
pkg/RandVar/man/0RandVar-package.Rd
pkg/RobAStBase/DESCRIPTION
pkg/RobAStBase/man/0RobAStBase-package.Rd
pkg/RobExtremes/DESCRIPTION
pkg/RobExtremes/man/0RobExtremes-package.Rd
pkg/RobLox/DESCRIPTION
pkg/RobLox/man/0RobLox-package.Rd
pkg/RobLoxBioC/DESCRIPTION
pkg/RobLoxBioC/man/0RobLoxBioC-package.Rd
pkg/RobRex/DESCRIPTION
Log:
updated packaging date in trunk for packages to be submitted
Modified: pkg/ROptEst/DESCRIPTION
===================================================================
--- pkg/ROptEst/DESCRIPTION 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/ROptEst/DESCRIPTION 2019-04-02 19:10:23 UTC (rev 1215)
@@ -1,6 +1,6 @@
Package: ROptEst
Version: 1.2.0
-Date: 2019-03-29
+Date: 2019-04-02
Title: Optimally Robust Estimation
Description: Optimally robust estimation in general smoothly parameterized models using S4
classes and methods.
@@ -19,4 +19,4 @@
Encoding: latin1
LastChangedDate: {$LastChangedDate$}
LastChangedRevision: {$LastChangedRevision$}
-VCS/SVNRevision: 1208
+VCS/SVNRevision: 1214
Modified: pkg/ROptEst/man/0ROptEst-package.Rd
===================================================================
--- pkg/ROptEst/man/0ROptEst-package.Rd 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/ROptEst/man/0ROptEst-package.Rd 2019-04-02 19:10:23 UTC (rev 1215)
@@ -13,16 +13,15 @@
\tabular{ll}{
Package: \tab ROptEst \cr
Version: \tab 1.2.0 \cr
-Date: \tab 2019-03-29 \cr
-Depends: \tab R(>= 3.4), methods, distr(>= 2.8.0), distrEx(>= 2.8.0),
- distrMod(>= 2.8.0),RandVar(>= 1.2.0), RobAStBase(>= 1.2.0) \cr
+Date: \tab 2019-04-02 \cr
+Depends: \tab R(>= 3.4), methods, distr(>= 2.8.0), distrEx(>= 2.8.0), distrMod(>= 2.8.0),RandVar(>= 1.2.0), RobAStBase(>= 1.2.0) \cr
Suggests: \tab RobLox \cr
Imports: \tab startupmsg, MASS, stats, graphics, utils, grDevices \cr
ByteCompile: \tab yes \cr
Encoding: \tab latin1 \cr
License: \tab LGPL-3 \cr
URL: \tab http://robast.r-forge.r-project.org/\cr
-VCS/SVNRevision: \tab 1208 \cr
+VCS/SVNRevision: \tab 1214 \cr
}
}
\author{
@@ -32,7 +31,6 @@
\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.
}
@@ -53,18 +51,15 @@
## don't test to reduce check time on CRAN
\donttest{
library(ROptEst)
-
## Example: Rutherford-Geiger (1910); cf. Feller~(1968), Section VI.7 (a)
x <- c(rep(0, 57), rep(1, 203), rep(2, 383), rep(3, 525), rep(4, 532),
rep(5, 408), rep(6, 273), rep(7, 139), rep(8, 45), rep(9, 27),
rep(10, 10), rep(11, 4), rep(12, 0), rep(13, 1), rep(14, 1))
-
## ML-estimate from package distrMod
MLest <- MLEstimator(x, PoisFamily())
MLest
## confidence interval based on CLT
confint(MLest)
-
## compute optimally (w.r.t to MSE) robust estimator (unknown contamination)
robEst <- roptest(x, PoisFamily(), eps.upper = 0.1, steps = 3)
estimate(robEst)
Modified: pkg/ROptEstOld/DESCRIPTION
===================================================================
--- pkg/ROptEstOld/DESCRIPTION 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/ROptEstOld/DESCRIPTION 2019-04-02 19:10:23 UTC (rev 1215)
@@ -1,6 +1,6 @@
Package: ROptEstOld
Version: 1.2.0
-Date: 2019-03-29
+Date: 2019-04-02
Title: Optimally Robust Estimation - Old Version
Description: Optimally robust estimation using S4 classes and methods. Old version still
needed for current versions of ROptRegTS and RobRex.
@@ -13,4 +13,4 @@
Encoding: latin1
LastChangedDate: {$LastChangedDate$}
LastChangedRevision: {$LastChangedRevision$}
-VCS/SVNRevision: 1208
+VCS/SVNRevision: 1214
Modified: pkg/ROptRegTS/DESCRIPTION
===================================================================
--- pkg/ROptRegTS/DESCRIPTION 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/ROptRegTS/DESCRIPTION 2019-04-02 19:10:23 UTC (rev 1215)
@@ -1,6 +1,6 @@
Package: ROptRegTS
Version: 1.2.0
-Date: 2019-03-29
+Date: 2019-04-02
Title: Optimally Robust Estimation for Regression-Type Models
Description: Optimally robust estimation for regression-type models using S4 classes and
methods.
@@ -15,4 +15,4 @@
URL: http://robast.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate$}
LastChangedRevision: {$LastChangedRevision$}
-VCS/SVNRevision: 1208
+VCS/SVNRevision: 1214
Modified: pkg/RandVar/DESCRIPTION
===================================================================
--- pkg/RandVar/DESCRIPTION 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RandVar/DESCRIPTION 2019-04-02 19:10:23 UTC (rev 1215)
@@ -1,13 +1,13 @@
Package: RandVar
Version: 1.2.0
-Date: 2019-03-29
+Date: 2019-04-02
Title: Implementation of Random Variables
Description: Implements random variables by means of S4 classes and methods.
Depends: R(>= 3.4), methods, distr(>= 2.8.0), distrEx(>= 2.8.0)
Imports: startupmsg
Authors at R: c(person("Matthias", "Kohl", role=c("cre", "cph", "aut"),
- email="Matthias.Kohl at stamats.de"),
- person("Peter", "Ruckdeschel", role=c("aut","cph")))
+ email="Matthias.Kohl at stamats.de"), person("Peter", "Ruckdeschel",
+ role=c("aut","cph")))
ByteCompile: yes
LazyLoad: yes
License: LGPL-3
@@ -15,4 +15,4 @@
URL: http://robast.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate$}
LastChangedRevision: {$LastChangedRevision$}
-VCS/SVNRevision: 1208
+VCS/SVNRevision: 1214
Modified: pkg/RandVar/man/0RandVar-package.Rd
===================================================================
--- pkg/RandVar/man/0RandVar-package.Rd 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RandVar/man/0RandVar-package.Rd 2019-04-02 19:10:23 UTC (rev 1215)
@@ -12,13 +12,13 @@
\tabular{ll}{
Package: \tab RandVar \cr
Version: \tab 1.2.0 \cr
-Date: \tab 2019-03-29 \cr
+Date: \tab 2019-04-02 \cr
Depends: \tab R(>= 3.4), methods, distr(>= 2.8.0), distrEx(>= 2.8.0) \cr
Imports: \tab startupmsg \cr
ByteCompile: \tab yes \cr
License: \tab LGPL-3 \cr
URL: \tab http://robast.r-forge.r-project.org/\cr
-VCS/SVNRevision: \tab 1208 \cr
+VCS/SVNRevision: \tab 1214 \cr
}
}
\author{
@@ -38,7 +38,6 @@
RobAStXXX family as a whole in order to ease updating "depends"
information.
}
-
\examples{
library(RandVar)
#vignette("RandVar")
Modified: pkg/RobAStBase/DESCRIPTION
===================================================================
--- pkg/RobAStBase/DESCRIPTION 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RobAStBase/DESCRIPTION 2019-04-02 19:10:23 UTC (rev 1215)
@@ -1,6 +1,6 @@
Package: RobAStBase
Version: 1.2.0
-Date: 2019-03-29
+Date: 2019-04-02
Title: Robust Asymptotic Statistics
Description: Base S4-classes and functions for robust asymptotic statistics.
Depends: R(>= 3.4), methods, rrcov, distr(>= 2.8.0), distrEx(>= 2.8.0), distrMod(>= 2.8.0),
@@ -19,4 +19,4 @@
URL: http://robast.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate$}
LastChangedRevision: {$LastChangedRevision$}
-VCS/SVNRevision: 1208
+VCS/SVNRevision: 1214
Modified: pkg/RobAStBase/man/0RobAStBase-package.Rd
===================================================================
--- pkg/RobAStBase/man/0RobAStBase-package.Rd 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RobAStBase/man/0RobAStBase-package.Rd 2019-04-02 19:10:23 UTC (rev 1215)
@@ -12,16 +12,15 @@
\tabular{ll}{
Package: \tab RobAStBase \cr
Version: \tab 1.2.0 \cr
-Date: \tab 2019-03-29 \cr
-Depends: \tab R(>= 3.4), methods, rrcov, distr(>= 2.8.0), distrEx(>= 2.8.0),
- distrMod(>= 2.8.0),RandVar(>= 1.2.0) \cr
+Date: \tab 2019-04-02 \cr
+Depends: \tab R(>= 3.4), methods, rrcov, distr(>= 2.8.0), distrEx(>= 2.8.0), distrMod(>= 2.8.0),RandVar(>= 1.2.0) \cr
Suggests: \tab ROptEst(>= 1.2.0), RUnit(>= 0.4.26) \cr
Imports: \tab startupmsg, graphics, grDevices, stats \cr
ByteCompile: \tab yes \cr
Encoding: \tab latin1 \cr
License: \tab LGPL-3 \cr
URL: \tab http://robast.r-forge.r-project.org/\cr
-VCS/SVNRevision: \tab 1208 \cr
+VCS/SVNRevision: \tab 1214 \cr
}
}
\author{
@@ -45,10 +44,8 @@
}
\examples{
library(RobAStBase)
-
## some L2 differentiable parametric family from package distrMod, e.g.
B <- BinomFamily(size = 25, prob = 0.25)
-
## classical optimal IC
IC0 <- optIC(model = B, risk = asCov())
plot(IC0) # plot IC
Modified: pkg/RobExtremes/DESCRIPTION
===================================================================
--- pkg/RobExtremes/DESCRIPTION 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RobExtremes/DESCRIPTION 2019-04-02 19:10:23 UTC (rev 1215)
@@ -1,6 +1,6 @@
Package: RobExtremes
Version: 1.2.0
-Date: 2019-03-29
+Date: 2019-04-02
Title: Optimally Robust Estimation for Extreme Value Distributions
Description: Optimally robust estimation for extreme value distributions using S4 classes and
methods (based on packages 'distr', 'distrEx', 'distrMod', 'RobAStBase', and
@@ -28,4 +28,4 @@
URL: http://robast.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate$}
LastChangedRevision: {$LastChangedRevision$}
-VCS/SVNRevision: 1208
+VCS/SVNRevision: 1214
Modified: pkg/RobExtremes/man/0RobExtremes-package.Rd
===================================================================
--- pkg/RobExtremes/man/0RobExtremes-package.Rd 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RobExtremes/man/0RobExtremes-package.Rd 2019-04-02 19:10:23 UTC (rev 1215)
@@ -10,7 +10,6 @@
estimation (i.e., MBRE, OMSE, RMXE) for extreme value distributions,
extending packages \pkg{distr}, \pkg{distrEx}, \pkg{distrMod},
\pkg{robustbase}, \pkg{RobAStBase}, and \pkg{ROptEst}.}
-
\section{Distributions}{
Importing from packages \pkg{actuar},
\pkg{evd}, it provides S4 classes and methods for the
@@ -21,7 +20,6 @@
%\cr
}
\section{Functionals for Distributions}{
-
These distributions come together with particular methods for expectations.
I.e., a functional E() as in package \pkg{distrEx}, which as first argument
takes the distribution, and, optionally, can take as second argument
@@ -37,9 +35,7 @@
asymmetric version of the \code{mad}, \code{kMAD} gives yet another robust
scale estimator (and functional). %\cr
}
-
\section{Models and Estimators}{
-
As to models, we provide the
\itemize{
\item GPD model (with known threshold), together with (speeded-up) optimally
@@ -63,7 +59,6 @@
\item Weibull (the quantile based estimator of Boudt/Caliskan/Croux)
\item Gamma (Cramér-von-Mises-Minimum-Distance-Estimator)
}
-
For all these families, of course, MLEs and Minimum-Distance-Estimators
are also available through package "distrMod". %\cr
}
@@ -85,7 +80,6 @@
\item returnlevel plots via \code{returnlevelplot}
}%\cr
}
-
\section{Starting Point}{
As a starting point you may look at the included script
\file{"RobFitsAtRealData.R"} in the scripts folder of the package,
@@ -94,21 +88,18 @@
"scripts/RobFitsAtRealData.R")}.
%\cr
}
-
\details{
\tabular{ll}{
Package: \tab RobExtremes \cr
Version: \tab 1.2.0 \cr
-Date: \tab 2019-03-29 \cr
+Date: \tab 2019-04-02 \cr
Title: \tab Optimally Robust Estimation for Extreme Value Distributions\cr
Description: \tab Optimally robust estimation for extreme value distributions
using S4 classes and methods \cr
\tab (based on packages distr, distrEx, distrMod, RobAStBase, and ROptEst). \cr
-Depends: \tab R(>= 3.4), methods, distrMod(>= 2.8.0), ROptEst(>= 1.2.0),
- robustbase, evd \cr
+Depends: \tab R(>= 3.4), methods, distrMod(>= 2.8.0), ROptEst(>= 1.2.0), robustbase, evd \cr
Suggests: \tab RUnit(>= 0.4.26), ismev(>= 1.39) \cr
-Imports: \tab RobAStRDA, distr, distrEx(>= 2.8.0), RandVar,
- RobAStBase(>= 1.2.0), startupmsg,actuar \cr
+Imports: \tab RobAStRDA, distr, distrEx(>= 2.8.0), RandVar, RobAStBase(>= 1.2.0), startupmsg,actuar \cr
Authors:
\tab Bernhard Spangl [contributed smoothed grid values of the Lagrange multipliers]\cr
\tab Sascha Desmettre [contributed smoothed grid values of the Lagrange multipliers]\cr
@@ -127,21 +118,17 @@
License: \tab LGPL-3 \cr
URL: \tab http://robast.r-forge.r-project.org/\cr
Encoding: \tab latin1 \cr
-VCS/SVNRevision: \tab 1208 \cr
+VCS/SVNRevision: \tab 1214 \cr
}
}
-
\section{Classes}{
\preformatted{
-
[*]: there is a generating function with the same name in RobExtremes
[**]: generating function from distrMod, but with (speeded-up)
opt.rob-estimators in RobExtremes
-
##########################
Distribution Classes
##########################
-
"Distribution" (from distr)
|>"UnivariateDistribution" (from distr)
|>|>"AbscontDistribution" (from distr)
@@ -149,24 +136,19 @@
|>|>|>"Pareto" [*]
|>|>|>"GPareto" [*]
|>|>|>"GEVD" [*]
-
-
##########################
Parameter Classes
##########################
-
"OptionalParameter" (from distr)
|>"Parameter" (from distr)
|>|>"GumbelParameter"
|>|>"ParetoParameter"
|>|>"GEVDParameter"
|>|>"GParetoParameter"
-
##########################
ProbFamily classes
##########################
slots: [<name>(<class>)]
-
"ProbFamily" (from distrMod)
|>"ParamFamily" (from distrMod)
|>|>"L2ParamFamily" (from distrMod)
@@ -184,9 +166,7 @@
|>|>|>|>|>"GEVFamilyMuUnknown" [*]
}
}
-
\section{Functions}{
-
\preformatted{
LDEstimator Estimators for scale-shape models based on
location and dispersion
@@ -199,26 +179,21 @@
QuantileBCCEstimator Quantile based estimator for the Weibull distribution
asvarQBCC [asy. variance to QuantileBCCE]
}}
-
\section{Generating Functions}{
\preformatted{
-
Distribution Classes
Gumbel Generating function for Gumbel-class
GEVD Generating function for GEVD-class
GPareto Generating function for GPareto-class
Pareto Generating function for Pareto-class
-
L2Param Families
ParetoFamily Generating function for ParetoFamily-class
GParetoFamily Generating function for GParetoFamily-class
GEVFamily Generating function for GEVFamily-class
WeibullFamily Generating function for WeibullFamily-class
-
}}
\section{Methods}{
\preformatted{
-
Functionals:
E Generic function for the computation of
(conditional) expectations
@@ -230,17 +205,13 @@
Sn Generic function for the computation of (conditional)
expectations
Qn Generic functions for the computation of functionals
-
}
}
\section{Constants}{
\preformatted{
-
EULERMASCHERONICONSTANT
APERYCONSTANT
-
}}
-
\section{Acknowledgement}{
This package is joint work by Peter Ruckdeschel, Matthias Kohl, and
Nataliya Horbenko (whose PhD thesis went into this package to a large extent),
@@ -252,7 +223,6 @@
way to store the database of interpolating functions which allow the speed up
-- this is now package RobAStRDA on CRAN. %\cr
}
-
\author{
Peter Ruckdeschel \email{peter.ruckdeschel at uni-oldenburg.de}, \cr
Matthias Kohl \email{Matthias.Kohl at stamats.de}, and \cr
@@ -263,31 +233,24 @@
M. Kohl (2005): \emph{Numerical Contributions to the Asymptotic
Theory of Robustness.} PhD Thesis. Bayreuth. Available as
\url{http://r-kurs.de/RRlong.pdf}
-
P. Ruckdeschel, M. Kohl, T. Stabla, F. Camphausen (2006):
S4 Classes for Distributions, \emph{R News}, \emph{6}(2), 2-6.
\url{https://CRAN.R-project.org/doc/Rnews/Rnews_2006-2.pdf}
-
M. Kohl, P. Ruckdeschel, H. Rieder (2010):
Infinitesimally Robust Estimation in General Smoothly Parametrized Models.
\emph{Stat. Methods Appl.}, \bold{19}, 333--354.\cr
-
Ruckdeschel, P. and Horbenko, N. (2011): Optimally-Robust Estimators in Generalized
Pareto Models. \emph{Statistics}. \bold{47}(4), 762--791.\cr
-
Ruckdeschel, P. and Horbenko, N. (2012): Yet another breakdown point notion:
EFSBP --illustrated at scale-shape models. \emph{Metrika}, \bold{75}(8),
1025--1047.
%a more detailed manual for \pkg{distr}, \pkg{distrSim}, \pkg{distrTEst}, and \pkg{RobExtremes} may be downloaded from
%\url{http://www.uni-bayreuth.de/departments/math/org/mathe7/DISTR/distr.pdf}\cr
-
A vignette for packages \pkg{distr}, \pkg{distrSim}, \pkg{distrTEst},
and \pkg{RobExtremes} is included into the mere documentation package \pkg{distrDoc}
and may be called by \code{require("distrDoc");vignette("distr")}.
-
A homepage to this package is available under \url{http://robast.r-forge.r-project.org/}.
}
-
\section{Start-up-Banner}{
You may suppress the start-up banner/message completely by setting
\code{options("StartupBanner"="off")} somewhere before loading this package by
@@ -310,14 +273,12 @@
call into \code{suppressPackageStartupMessages()} from
\pkg{startupmsg}-version 0.5 on.
}
-
\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.
}
-
\keyword{package}
\concept{S4 condition class}
\concept{S4 distribution class}
Modified: pkg/RobLox/DESCRIPTION
===================================================================
--- pkg/RobLox/DESCRIPTION 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RobLox/DESCRIPTION 2019-04-02 19:10:23 UTC (rev 1215)
@@ -1,6 +1,6 @@
Package: RobLox
Version: 1.2.0
-Date: 2019-03-29
+Date: 2019-04-02
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.
@@ -16,4 +16,4 @@
URL: http://robast.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate$}
LastChangedRevision: {$LastChangedRevision$}
-VCS/SVNRevision: 1208
+VCS/SVNRevision: 1214
Modified: pkg/RobLox/man/0RobLox-package.Rd
===================================================================
--- pkg/RobLox/man/0RobLox-package.Rd 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RobLox/man/0RobLox-package.Rd 2019-04-02 19:10:23 UTC (rev 1215)
@@ -13,24 +13,21 @@
\tabular{ll}{
Package: \tab RobLox \cr
Version: \tab 1.2.0 \cr
-Date: \tab 2019-03-29 \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
+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 1208 \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}
@@ -51,13 +48,11 @@
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))
@@ -66,7 +61,6 @@
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)
Modified: pkg/RobLoxBioC/DESCRIPTION
===================================================================
--- pkg/RobLoxBioC/DESCRIPTION 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RobLoxBioC/DESCRIPTION 2019-04-02 19:10:23 UTC (rev 1215)
@@ -1,6 +1,6 @@
Package: RobLoxBioC
Version: 1.2.0
-Date: 2019-03-29
+Date: 2019-04-02
Title: Infinitesimally Robust Estimators for Preprocessing -Omics Data
Description: Functions for the determination of optimally robust influence curves and
estimators for preprocessing omics data, in particular gene expression data.
@@ -16,4 +16,4 @@
Encoding: latin1
LastChangedDate: {$LastChangedDate$}
LastChangedRevision: {$LastChangedRevision$}
-VCS/SVNRevision: 1208
+VCS/SVNRevision: 1214
Modified: pkg/RobLoxBioC/man/0RobLoxBioC-package.Rd
===================================================================
--- pkg/RobLoxBioC/man/0RobLoxBioC-package.Rd 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RobLoxBioC/man/0RobLoxBioC-package.Rd 2019-04-02 19:10:23 UTC (rev 1215)
@@ -13,7 +13,7 @@
\tabular{ll}{
Package: \tab RobLoxBioC \cr
Version: \tab 1.2.0 \cr
-Date: \tab 2019-03-29 \cr
+Date: \tab 2019-04-02 \cr
Depends:\tab R(>= 2.14.0), methods, distr(>= 2.5.2), affy \cr
Imports:\tab Biobase, BiocGenerics, beadarray, RobLox(>= 0.9.2),
distrMod(>= 2.5.2), lattice, RColorBrewer \cr
@@ -22,7 +22,7 @@
ByteCompile: \tab yes \cr
License: \tab LGPL-3 \cr
URL: \tab http://robast.r-forge.r-project.org/\cr
-VCS/SVNRevision: \tab 1208 \cr
+VCS/SVNRevision: \tab 1214 \cr
Encoding: \tab latin1 \cr
}
}
@@ -32,16 +32,13 @@
\references{
Kohl, M. (2005) \emph{Numerical Contributions to the Asymptotic Theory of Robustness}.
Bayreuth: Dissertation.
-
Kohl M. and Deigner H.P. (2010). Preprocessing of gene expression data by optimally
robust estimators. \emph{BMC Bioinformatics}, 11:583.
-
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.
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}
Modified: pkg/RobRex/DESCRIPTION
===================================================================
--- pkg/RobRex/DESCRIPTION 2019-04-02 07:27:00 UTC (rev 1214)
+++ pkg/RobRex/DESCRIPTION 2019-04-02 19:10:23 UTC (rev 1215)
@@ -1,6 +1,6 @@
Package: RobRex
Version: 1.2.0
-Date: 2019-03-29
+Date: 2019-04-02
Title: Optimally Robust Influence Curves for Regression and Scale
Description: Functions for the determination of optimally robust influence curves in case of
linear regression with unknown scale and standard normal distributed errors where
@@ -15,4 +15,4 @@
URL: http://robast.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate$}
LastChangedRevision: {$LastChangedRevision$}
-VCS/SVNRevision: 1208
+VCS/SVNRevision: 1214
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