[Robast-commits] r1328 - in pkg/RobLox: . inst man tests/Examples
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Sun Jan 12 03:02:57 CET 2025
Author: ruckdeschel
Date: 2025-01-12 03:02:56 +0100 (Sun, 12 Jan 2025)
New Revision: 1328
Modified:
pkg/RobLox/DESCRIPTION
pkg/RobLox/inst/CITATION
pkg/RobLox/inst/NEWS
pkg/RobLox/man/0RobLox-package.Rd
pkg/RobLox/tests/Examples/RobLox-Ex.Rout.save
Log:
[RobLox] version on trunk ready for submission
Modified: pkg/RobLox/DESCRIPTION
===================================================================
--- pkg/RobLox/DESCRIPTION 2025-01-12 01:10:55 UTC (rev 1327)
+++ pkg/RobLox/DESCRIPTION 2025-01-12 02:02:56 UTC (rev 1328)
@@ -1,10 +1,10 @@
Package: RobLox
-Version: 1.2.2
-Date: 2024-02-10
+Version: 1.2.3
+Date: 2025-01-12
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
- (see Chapter 8 in Kohl (2005) <https://epub.uni-bayreuth.de/839/2/DissMKohl.pdf>).
+ estimators in case of normal location and/or scale (see Chapter 8 in Kohl (2005)
+ <https://epub.uni-bayreuth.de/839/2/DissMKohl.pdf>).
Depends: R(>= 3.4), stats, distrMod(>= 2.8.0), RobAStBase(>= 1.2.0)
Imports: methods, lattice, RColorBrewer, Biobase, RandVar(>= 1.2.0), distr(>= 2.8.0)
Suggests: MASS
@@ -17,4 +17,4 @@
URL: http://robast.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate$}
LastChangedRevision: {$LastChangedRevision$}
-VCS/SVNRevision: 1214
+VCS/SVNRevision: 1327
Modified: pkg/RobLox/inst/CITATION
===================================================================
--- pkg/RobLox/inst/CITATION 2025-01-12 01:10:55 UTC (rev 1327)
+++ pkg/RobLox/inst/CITATION 2025-01-12 02:02:56 UTC (rev 1328)
@@ -6,7 +6,7 @@
bibtype = "Manual",
mheader = "To cite package RobLox in publications use:",
title = "RobLox: Optimally robust influence curves and estimators for location and scale",
- author = as.person("M. Kohl"),
+ author = c(person("Matthias", "Kohl", comment = c(ORCID = "0000-0001-9514-8910"))),
language = "English",
year = year,
note = note,
Modified: pkg/RobLox/inst/NEWS
===================================================================
--- pkg/RobLox/inst/NEWS 2025-01-12 01:10:55 UTC (rev 1327)
+++ pkg/RobLox/inst/NEWS 2025-01-12 02:02:56 UTC (rev 1328)
@@ -8,6 +8,15 @@
information)
#######################################
+version 1.2.3
+#######################################
+
+under the hood:
++ adapted reference output for new startupmsg
++ fixed some broken URLs and changed URLs from http to https where possible
++ changed encoding to UTF-8 and updated URL for r-forge project homepage
+
+#######################################
version 1.2.2
#######################################
Modified: pkg/RobLox/man/0RobLox-package.Rd
===================================================================
--- pkg/RobLox/man/0RobLox-package.Rd 2025-01-12 01:10:55 UTC (rev 1327)
+++ pkg/RobLox/man/0RobLox-package.Rd 2025-01-12 02:02:56 UTC (rev 1328)
@@ -1,64 +1,63 @@
-\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
-(see Chapter 8 in Kohl (2005) <https://epub.uni-bayreuth.de/839/2/DissMKohl.pdf>).
-}
-\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. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
-
- 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}
-
- 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}.
-
- M. Kohl and H.P. Deigner (2010). Preprocessing of gene expression data by
- optimally robust estimators. BMC Bioinformatics \emph{11}, 583.
- \doi{10.1186/1471-2105-11-583}.
-
- M. Kohl (2012). Bounded influence estimation for regression and scale.
- Statistics, \bold{46}(4): 437-488. \doi{10.1080/02331888.2010.540668}
-}
-\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
+(see Chapter 8 in Kohl (2005) <https://epub.uni-bayreuth.de/839/2/DissMKohl.pdf>).
+}
+\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. \url{https://epub.uni-bayreuth.de/id/eprint/839/2/DissMKohl.pdf}.
+
+ 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}
+ 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}.
+
+ M. Kohl and H.P. Deigner (2010). Preprocessing of gene expression data by
+ optimally robust estimators. BMC Bioinformatics \emph{11}, 583.
+ \doi{10.1186/1471-2105-11-583}.
+
+ M. Kohl (2012). Bounded influence estimation for regression and scale.
+ Statistics, \bold{46}(4): 437-488. \doi{10.1080/02331888.2010.540668}
+}
+\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}
Modified: pkg/RobLox/tests/Examples/RobLox-Ex.Rout.save
===================================================================
--- pkg/RobLox/tests/Examples/RobLox-Ex.Rout.save 2025-01-12 01:10:55 UTC (rev 1327)
+++ pkg/RobLox/tests/Examples/RobLox-Ex.Rout.save 2025-01-12 02:02:56 UTC (rev 1328)
@@ -1,7 +1,7 @@
-R Under development (unstable) (2019-02-27 r76167) -- "Unsuffered Consequences"
-Copyright (C) 2019 The R Foundation for Statistical Computing
-Platform: i386-w64-mingw32/i386 (32-bit)
+R Under development (unstable) (2025-01-10 r87562 ucrt) -- "Unsuffered Consequences"
+Copyright (C) 2025 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
@@ -25,32 +25,29 @@
Loading required package: distrMod
Loading required package: distr
Loading required package: startupmsg
-:startupmsg> Utilities for Start-Up Messages (version 0.9.6)
+:startupmsg> *** Utilities for Start-Up Messages ***
:startupmsg>
-:startupmsg> For more information see ?"startupmsg",
-:startupmsg> NEWS("startupmsg")
-
+:startupmsg> Version information in start-up messages is
+:startupmsg> currently suppressed. To see such information on
+:startupmsg> startup as in versions of this pkg prior to this
+:startupmsg> versionr, set option "StartupBanner" to a value
+:startupmsg> different to {"off", "no-version", "no -
+:startupmsg> version"}, e.g., by options("StartupBanner" =
+:startupmsg> "complete") or by options("StartupBanner" = NULL)
+:startupmsg> or by options("StartupBanner" = "something else").
+:startupmsg>
+:startupmsg> Detailed information about which packages are
+:startupmsg> currently loaded or attached at which version
+:startupmsg> (regardless of whether these have start-up
+:startupmsg> messages managed by this package) can be obtained
+:startupmsg> by "sessionInfo()".
+:startupmsg>
+:startupmsg>
Loading required package: sfsmisc
-:distr> Object Oriented Implementation of Distributions (version
-:distr> 2.8.0)
+:distr> *** Object Oriented Implementation of Distributions ***
:distr>
-:distr> Attention: Arithmetics on distribution objects are
-:distr> understood as operations on corresponding random variables
-:distr> (r.v.s); see distrARITH().
:distr>
-:distr> Some functions from package 'stats' are intentionally masked
-:distr> ---see distrMASK().
-:distr>
-:distr> Note that global options are controlled by distroptions()
-:distr> ---c.f. ?"distroptions".
-:distr>
-:distr> For more information see ?"distr", NEWS("distr"), as well as
-:distr> http://distr.r-forge.r-project.org/
-:distr> Package "distrDoc" provides a vignette to this package as
-:distr> well as to several extension packages; try
-:distr> vignette("distr").
-
Attaching package: 'distr'
The following objects are masked from 'package:stats':
@@ -58,23 +55,10 @@
df, qqplot, sd
Loading required package: distrEx
-:distrEx> Extensions of Package 'distr' (version 2.8.0)
+:distrEx> *** Extensions of Package 'distr' ***
:distrEx>
-:distrEx> Note: Packages "e1071", "moments", "fBasics" should be
-:distrEx> attached /before/ package "distrEx". See
-:distrEx> distrExMASK().Note: Extreme value distribution
-:distrEx> functionality has been moved to
:distrEx>
-:distrEx> package "RobExtremes". See distrExMOVED().
-:distrEx>
-:distrEx> For more information see ?"distrEx", NEWS("distrEx"), as
-:distrEx> well as
-:distrEx> http://distr.r-forge.r-project.org/
-:distrEx> Package "distrDoc" provides a vignette to this package
-:distrEx> as well as to several related packages; try
-:distrEx> vignette("distr").
-
Attaching package: 'distrEx'
The following objects are masked from 'package:stats':
@@ -82,36 +66,16 @@
IQR, mad, median, var
Loading required package: RandVar
-:RandVar> Implementation of Random Variables (version 1.2.0)
+:RandVar> *** Implementation of Random Variables ***
:RandVar>
-:RandVar> For more information see ?"RandVar", NEWS("RandVar"), as
-:RandVar> well as
-:RandVar> http://robast.r-forge.r-project.org/
-:RandVar> This package also includes a vignette; try
-:RandVar> vignette("RandVar").
-
+:RandVar>
Loading required package: MASS
Loading required package: stats4
-:distrMod> Object Oriented Implementation of Probability Models
-:distrMod> (version 2.8.0)
+:distrMod> *** Object Oriented Implementation of Probability
+:distrMod> Models ***
:distrMod>
-:distrMod> Some functions from pkg's 'base' and 'stats' are
-:distrMod> intentionally masked ---see distrModMASK().
:distrMod>
-:distrMod> Note that global options are controlled by
-:distrMod> distrModoptions() ---c.f. ?"distrModoptions".
-:distrMod>
-:distrMod> For more information see ?"distrMod",
-:distrMod> NEWS("distrMod"), as well as
-:distrMod> http://distr.r-forge.r-project.org/
-:distrMod> There is a vignette to this package; try
-:distrMod> vignette("distrMod").
-:distrMod> Package "distrDoc" provides a vignette to the other
-:distrMod> distrXXX packages,
-:distrMod> as well as to several related packages; try
-:distrMod> vignette("distr").
-
Attaching package: 'distrMod'
The following object is masked from 'package:stats4':
@@ -129,21 +93,12 @@
Loading required package: RobAStBase
Loading required package: rrcov
Loading required package: robustbase
-Scalable Robust Estimators with High Breakdown Point (version 1.4-7)
+Scalable Robust Estimators with High Breakdown Point (version 1.7-6)
-:RobAStBase> Robust Asymptotic Statistics (version 1.2.0)
+:RobAStBase> *** Robust Asymptotic Statistics ***
:RobAStBase>
-:RobAStBase> Some functions from pkg's 'stats' and 'graphics'
-:RobAStBase> are intentionally masked ---see RobAStBaseMASK().
:RobAStBase>
-:RobAStBase> Note that global options are controlled by
-:RobAStBase> RobAStBaseoptions() ---c.f. ?"RobAStBaseoptions".
-:RobAStBase>
-:RobAStBase> For more information see ?"RobAStBase",
-:RobAStBase> NEWS("RobAStBase"), as well as
-:RobAStBase> http://robast.r-forge.r-project.org/
-
Attaching package: 'RobAStBase'
The following object is masked from 'package:graphics':
@@ -198,7 +153,6 @@
[1] 1.885026
steps:
[1] 1
->
> res <- roblox(x, eps.lower = 0.01, eps.upper = 0.1, returnIC = TRUE)
> estimate(res)
mean sd
@@ -255,7 +209,6 @@
[1,] "finite-sample corrected radius-minimax estimate for contamination interval [0.01, 0.1]"
[2,] "least favorable (uncorrected) contamination: 0.043"
[3,] "maximum asymptotic MSE-inefficiency: 1.441"
->
> ## don't run to reduce check time on CRAN
> ## Not run:
> ##D checkIC(pIC(res))
@@ -264,7 +217,6 @@
> ##D plot(pIC(res))
> ##D infoPlot(pIC(res))
> ## End(Not run)
->
> ## 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)
@@ -330,12 +282,12 @@
> distrExOptions("ErelativeTolerance" = 1e-12)
> checkIC(IC1)
precision of centering: 0
-precision of Fisher consistency:
- mean
-mean -2.150266e-06
-precision of Fisher consistency - relative error [%]:
- mean
-mean -0.0002150266
+precision of Fisher information:
+ mean
+mean -2.1503e-06
+precision of Fisher information - relativ error [%]:
+ [,1]
+[1,] -2.15e-04
maximum deviation
2.150266e-06
> distrExOptions("ErelativeTolerance" = .Machine$double.eps^0.25) # default
@@ -375,20 +327,20 @@
>
> IC1 <- rlsOptIC.AL(r = 0.1, check = TRUE)
Fisher consistency of eta.loc: -1.743714e-10
-centering of eta.sc: -3.903791e-10
-Fisher consistency of eta.sc: 2.926103e-09
+centering of eta.sc: -3.903789e-10
+Fisher consistency of eta.sc: 2.926104e-09
MSE equation: 1.207368e-14
> distrExOptions("ErelativeTolerance" = 1e-12)
> checkIC(IC1)
-precision of centering: 0 -6.039298e-07
-precision of Fisher consistency:
- mean sd
-mean -1.102483e-06 0.000000e+00
-sd 0.000000e+00 -1.685676e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.0001102483 NaN
-sd NaN -0.001685676
+precision of centering: 0 -6.0393e-07
+precision of Fisher information:
+ mean sd
+mean -1.1025e-06 0.0000e+00
+sd 0.0000e+00 -1.6857e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -1.10e-04 .
+[2,] . -1.69e-03
maximum deviation
1.685676e-05
> distrExOptions("ErelativeTolerance" = .Machine$double.eps^0.25) # default
@@ -473,15 +425,15 @@
>
> IC1 <- rlsOptIC.An1(r = 0.1)
> checkIC(IC1)
-precision of centering: 0 1.410025e-07
-precision of Fisher consistency:
- mean sd
-mean 2.530605e-08 0.000000e+00
-sd 0.000000e+00 3.875467e-06
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean 2.530605e-06 NaN
-sd NaN 0.0003875467
+precision of centering: 0 1.41003e-07
+precision of Fisher information:
+ mean sd
+mean 2.5306e-08 0.0000e+00
+sd 0.0000e+00 3.8755e-06
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] 2.53e-06 .
+[2,] . 3.88e-04
maximum deviation
3.875467e-06
> Risks(IC1)
@@ -522,14 +474,14 @@
> IC1 <- rlsOptIC.An2(r = 0.1)
> checkIC(IC1)
precision of centering: 0 -0.0001066371
-precision of Fisher consistency:
- mean sd
-mean -4.006394e-07 0.000000e+00
-sd 0.000000e+00 -1.496408e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -4.006394e-05 NaN
-sd NaN -0.001496408
+precision of Fisher information:
+ mean sd
+mean -4.0064e-07 0.0000e+00
+sd 0.0000e+00 -1.4964e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -4.01e-05 .
+[2,] . -1.50e-03
maximum deviation
0.0001066371
> Risks(IC1)
@@ -566,15 +518,15 @@
>
> IC1 <- rlsOptIC.AnMad(r = 0.1)
> checkIC(IC1)
-precision of centering: 0 -6.569591e-07
-precision of Fisher consistency:
- mean sd
-mean -4.044557e-07 0.000000e+00
-sd 0.000000e+00 -6.821323e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -4.044557e-05 NaN
-sd NaN -0.006821323
+precision of centering: 0 -6.56959e-07
+precision of Fisher information:
+ mean sd
+mean -4.0446e-07 0.0000e+00
+sd 0.0000e+00 -6.8213e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -4.04e-05 .
+[2,] . -6.82e-03
maximum deviation
6.821323e-05
> Risks(IC1)
@@ -612,14 +564,14 @@
> IC1 <- rlsOptIC.BM(r = 0.1)
> checkIC(IC1)
precision of centering: 0 -1.246469e-06
-precision of Fisher consistency:
- mean sd
-mean -2.355426e-06 0.000000e+00
-sd 0.000000e+00 -1.732518e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.0002355426 NaN
-sd NaN -0.001732518
+precision of Fisher information:
+ mean sd
+mean -2.3554e-06 0.0000e+00
+sd 0.0000e+00 -1.7325e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -2.36e-04 .
+[2,] . -1.73e-03
maximum deviation
1.732518e-05
> Risks(IC1)
@@ -659,15 +611,15 @@
>
> IC1 <- rlsOptIC.Ha3(r = 0.1)
> checkIC(IC1)
-precision of centering: 0 -3.191376e-07
-precision of Fisher consistency:
- mean sd
-mean -8.538336e-07 0.000000e+00
-sd 0.000000e+00 -9.691769e-06
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -8.538336e-05 NaN
-sd NaN -0.0009691769
+precision of centering: 0 -3.19138e-07
+precision of Fisher information:
+ mean sd
+mean -8.5383e-07 0.0000e+00
+sd 0.0000e+00 -9.6918e-06
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -8.54e-05 .
+[2,] . -9.69e-04
maximum deviation
9.691769e-06
> Risks(IC1)
@@ -708,14 +660,14 @@
> IC1 <- rlsOptIC.Ha4(r = 0.1)
> checkIC(IC1)
precision of centering: 0 -0.0001069318
-precision of Fisher consistency:
- mean sd
-mean -2.265319e-06 0.000000e+00
-sd 0.000000e+00 -1.498731e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.0002265319 NaN
-sd NaN -0.001498731
+precision of Fisher information:
+ mean sd
+mean -2.2653e-06 0.0000e+00
+sd 0.0000e+00 -1.4987e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -2.27e-04 .
+[2,] . -1.50e-03
maximum deviation
0.0001069318
> Risks(IC1)
@@ -752,15 +704,15 @@
>
> IC1 <- rlsOptIC.HaMad(r = 0.1)
> checkIC(IC1)
-precision of centering: 0 -6.569591e-07
-precision of Fisher consistency:
- mean sd
-mean -2.041724e-06 0.000000e+00
-sd 0.000000e+00 -6.821323e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.0002041724 NaN
-sd NaN -0.006821323
+precision of centering: 0 -6.56959e-07
+precision of Fisher information:
+ mean sd
+mean -2.0417e-06 0.0000e+00
+sd 0.0000e+00 -6.8213e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -2.04e-04 .
+[2,] . -6.82e-03
maximum deviation
6.821323e-05
> Risks(IC1)
@@ -798,14 +750,14 @@
> IC1 <- rlsOptIC.Hu1(r = 0.1)
> checkIC(IC1)
precision of centering: 0 -2.085425e-06
-precision of Fisher consistency:
- mean sd
-mean -3.746843e-06 0.000000e+00
-sd 0.000000e+00 -1.350353e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.0003746843 NaN
-sd NaN -0.001350353
+precision of Fisher information:
+ mean sd
+mean -3.7468e-06 0.0000e+00
+sd 0.0000e+00 -1.3504e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -3.75e-04 .
+[2,] . -1.35e-03
maximum deviation
1.350353e-05
> Risks(IC1)
@@ -842,15 +794,15 @@
>
> IC1 <- rlsOptIC.Hu2(r = 0.1)
> checkIC(IC1)
-precision of centering: 0 -6.187336e-07
-precision of Fisher consistency:
- mean sd
-mean -2.563384e-06 0.000000e+00
-sd 0.000000e+00 -1.321969e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.0002563384 NaN
-sd NaN -0.001321969
+precision of centering: 0 -6.18734e-07
+precision of Fisher information:
+ mean sd
+mean -2.5634e-06 0.000e+00
+sd 0.0000e+00 -1.322e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -2.56e-04 .
+[2,] . -1.32e-03
maximum deviation
1.321969e-05
> Risks(IC1)
@@ -888,14 +840,14 @@
> IC1 <- rlsOptIC.Hu2a(r = 0.1)
> checkIC(IC1)
precision of centering: 0 -1.52497e-06
-precision of Fisher consistency:
- mean sd
-mean -3.15714e-06 0.000000e+00
-sd 0.00000e+00 -1.321476e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.000315714 NaN
-sd NaN -0.001321476
+precision of Fisher information:
+ mean sd
+mean -3.1571e-06 0.0000e+00
+sd 0.0000e+00 -1.3215e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -3.16e-04 .
+[2,] . -1.32e-03
maximum deviation
1.321476e-05
> Risks(IC1)
@@ -933,14 +885,14 @@
> IC1 <- rlsOptIC.Hu3(r = 0.1)
> checkIC(IC1)
precision of centering: 0 -8.525774e-05
-precision of Fisher consistency:
- mean sd
-mean -2.132286e-06 0.000000e+00
-sd 0.000000e+00 -1.574855e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.0002132286 NaN
-sd NaN -0.001574855
+precision of Fisher information:
+ mean sd
+mean -2.1323e-06 0.0000e+00
+sd 0.0000e+00 -1.5749e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -2.13e-04 .
+[2,] . -1.57e-03
maximum deviation
8.525774e-05
> Risks(IC1)
@@ -977,15 +929,15 @@
>
> IC1 <- rlsOptIC.HuMad(r = 0.1)
> checkIC(IC1)
-precision of centering: 0 -6.569591e-07
-precision of Fisher consistency:
- mean sd
-mean -1.987572e-06 0.000000e+00
-sd 0.000000e+00 -6.821323e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.0001987572 NaN
-sd NaN -0.006821323
+precision of centering: 0 -6.56959e-07
+precision of Fisher information:
+ mean sd
+mean -1.9876e-06 0.0000e+00
+sd 0.0000e+00 -6.8213e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -1.99e-04 .
+[2,] . -6.82e-03
maximum deviation
6.821323e-05
> Risks(IC1)
@@ -1026,15 +978,15 @@
MSE equation: -3.383432e-12
> distrExOptions("ErelativeTolerance" = 1e-12)
> checkIC(IC1, NormLocationScaleFamily())
-precision of centering: -4.020382e-20 -5.077122e-07
-precision of Fisher consistency:
- mean sd
-mean -1.083071e-06 9.647736e-20
-sd 5.538940e-20 -1.633143e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.0001083071 Inf
-sd Inf -0.001633143
+precision of centering: 0 -5.07712e-07
+precision of Fisher information:
+ mean sd
+mean -1.0831e-06 0.0000e+00
+sd 0.0000e+00 -1.6331e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -1.08e-04 .
+[2,] . -1.63e-03
maximum deviation
1.633143e-05
> distrExOptions("ErelativeTolerance" = .Machine$double.eps^0.25)
@@ -1072,15 +1024,15 @@
>
> IC1 <- rlsOptIC.MM2(r = 0.1)
> checkIC(IC1)
-precision of centering: 0 -6.066522e-07
-precision of Fisher consistency:
- mean sd
-mean -2.225204e-06 0.000000e+00
-sd 0.000000e+00 -1.566028e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -0.0002225204 NaN
-sd NaN -0.001566028
+precision of centering: 0 -6.06652e-07
+precision of Fisher information:
+ mean sd
+mean -2.2252e-06 0.000e+00
+sd 0.0000e+00 -1.566e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -2.23e-04 .
+[2,] . -1.57e-03
maximum deviation
1.566028e-05
> Risks(IC1)
@@ -1117,15 +1069,15 @@
>
> IC1 <- rlsOptIC.Tu1(r = 0.1)
> checkIC(IC1)
-precision of centering: 0 1.022418e-07
-precision of Fisher consistency:
- mean sd
-mean -3.649066e-08 0.000000e+00
-sd 0.000000e+00 2.888236e-06
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -3.649066e-06 NaN
-sd NaN 0.0002888236
+precision of centering: 0 1.02242e-07
+precision of Fisher information:
+ mean sd
+mean -3.6491e-08 0.0000e+00
+sd 0.0000e+00 2.8882e-06
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -3.65e-06 .
+[2,] . 2.89e-04
maximum deviation
2.888236e-06
> Risks(IC1)
@@ -1162,15 +1114,15 @@
>
> IC1 <- rlsOptIC.Tu2(r = 0.1)
> checkIC(IC1)
-precision of centering: 0 -1.429842e-07
-precision of Fisher consistency:
- mean sd
-mean -5.447399e-07 0.000000e+00
-sd 0.000000e+00 -1.437669e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -5.447399e-05 NaN
-sd NaN -0.001437669
+precision of centering: 0 -1.42984e-07
+precision of Fisher information:
+ mean sd
+mean -5.4474e-07 0.0000e+00
+sd 0.0000e+00 -1.4377e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -5.45e-05 .
+[2,] . -1.44e-03
maximum deviation
1.437669e-05
> Risks(IC1)
@@ -1207,15 +1159,15 @@
>
> IC1 <- rlsOptIC.TuMad(r = 0.1)
> checkIC(IC1)
-precision of centering: 0 -6.569591e-07
-precision of Fisher consistency:
- mean sd
-mean -5.410012e-07 0.000000e+00
-sd 0.000000e+00 -6.821323e-05
-precision of Fisher consistency - relative error [%]:
- mean sd
-mean -5.410012e-05 NaN
-sd NaN -0.006821323
+precision of centering: 0 -6.56959e-07
+precision of Fisher information:
+ mean sd
+mean -5.41e-07 0.0000e+00
+sd 0.00e+00 -6.8213e-05
+precision of Fisher information - relativ error [%]:
+ [,1] [,2]
+[1,] -5.41e-05 .
+[2,] . -6.82e-03
maximum deviation
6.821323e-05
> Risks(IC1)
@@ -1769,12 +1721,12 @@
> distrExOptions("ErelativeTolerance" = 1e-12)
> checkIC(IC1)
precision of centering: -5.00529e-07
-precision of Fisher consistency:
- scale
-scale -1.394372e-05
-precision of Fisher consistency - relative error [%]:
- scale
-scale -0.001394372
+precision of Fisher information:
+ scale
+scale -1.3944e-05
+precision of Fisher information - relativ error [%]:
+ [,1]
+[1,] -1.39e-03
maximum deviation
1.394372e-05
> distrExOptions("ErelativeTolerance" = .Machine$double.eps^0.25) # default
@@ -1847,7 +1799,7 @@
> cleanEx()
> options(digits = 7L)
> base::cat("Time elapsed: ", proc.time() - base::get("ptime", pos = 'CheckExEnv'),"\n")
-Time elapsed: 58.89 2.69 111.11 NA NA
+Time elapsed: 19.05 0.88 19.93 NA NA
> grDevices::dev.off()
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