[Distr-commits] r840 - branches/distr-2.4/pkg/utils pkg/distrEx/tests/Examples
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Wed Jan 9 02:03:43 CET 2013
Author: ruckdeschel
Date: 2013-01-09 02:03:42 +0100 (Wed, 09 Jan 2013)
New Revision: 840
Modified:
branches/distr-2.4/pkg/utils/DESCRIPTIONutils.R
pkg/distrEx/tests/Examples/distrEx-Ex.Rout.save
Log:
finished update to 2.4
Modified: branches/distr-2.4/pkg/utils/DESCRIPTIONutils.R
===================================================================
--- branches/distr-2.4/pkg/utils/DESCRIPTIONutils.R 2013-01-09 01:01:41 UTC (rev 839)
+++ branches/distr-2.4/pkg/utils/DESCRIPTIONutils.R 2013-01-09 01:03:42 UTC (rev 840)
@@ -34,8 +34,7 @@
on.exit(setwd(oldDir))
setwd(startDir)
if(withSVNread){
- svn <- getAllRevNr(startDir,list="max")
- svnrev <- svn[[1]]
+ svnrev <- getRevNr(startDir)[[1]]
print(svnrev)
if("SVNRevision" %in% names){
values[which(names=="SVNRevision"),] <- svnrev
Modified: pkg/distrEx/tests/Examples/distrEx-Ex.Rout.save
===================================================================
--- pkg/distrEx/tests/Examples/distrEx-Ex.Rout.save 2013-01-09 01:01:41 UTC (rev 839)
+++ pkg/distrEx/tests/Examples/distrEx-Ex.Rout.save 2013-01-09 01:03:42 UTC (rev 840)
@@ -1,5 +1,5 @@
-R version 2.15.0 Patched (2012-05-26 r59450) -- "Easter Beagle"
+R version 2.15.1 Patched (2012-06-29 r59688) -- "Roasted Marshmallows"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-unknown-linux-gnu (64-bit)
@@ -24,7 +24,7 @@
> library('distrEx')
Loading required package: distr
Loading required package: startupmsg
-:startupmsg> Utilities for start-up messages (version 0.7.3)
+:startupmsg> Utilities for start-up messages (version 0.8)
:startupmsg>
:startupmsg> For more information see ?"startupmsg",
:startupmsg> NEWS("startupmsg")
@@ -32,8 +32,7 @@
Loading required package: sfsmisc
Loading required package: SweaveListingUtils
:SweaveListingUtils> Utilities for Sweave together with
-:SweaveListingUtils> TeX listings package (version
-:SweaveListingUtils> 0.5.5)
+:SweaveListingUtils> TeX listings package (version 0.6)
:SweaveListingUtils>
:SweaveListingUtils> Some functions from package 'base'
:SweaveListingUtils> are intentionally masked ---see
@@ -59,7 +58,7 @@
library, require
:distr> Object oriented implementation of distributions (version
-:distr> 2.3.4)
+:distr> 2.4)
:distr>
:distr> Attention: Arithmetics on distribution objects are
:distr> understood as operations on corresponding random variables
@@ -84,20 +83,15 @@
df, qqplot, sd
-Loading required package: evd
-Loading required package: actuar
-
-Attaching package: ‘actuar’
-
-The following object(s) are masked from ‘package:grDevices’:
-
- cm
-
-:distrEx> Extensions of package distr (version 2.3.2)
+:distrEx> Extensions of package distr (version 2.4)
:distrEx>
:distrEx> Note: Packages "e1071", "moments", "fBasics" should be
-:distrEx> attached /before/ package "distrEx". See distrExMASK().
+: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/
@@ -161,9 +155,10 @@
>
> ### ** Examples
>
-> AsymTotalVarDist(Norm(), Gumbel(), rho=0.3)
+> AsymTotalVarDist(Norm(), UnivarMixingDistribution(Norm(1,2),Norm(0.5,3),
++ mixCoeff=c(0.2,0.8)), rho=0.3)
asym. total variation distance
- 0.231687
+ 0.5311789
> AsymTotalVarDist(Norm(), Td(10), rho=0.3)
asym. total variation distance
0.03412603
@@ -307,12 +302,14 @@
>
> ### ** Examples
>
-> CvMDist(Norm(), Gumbel())
+> CvMDist(Norm(), UnivarMixingDistribution(Norm(1,2),Norm(0.5,3),
++ mixCoeff=c(0.2,0.8)))
CvM distance
- 0.1227136
-> CvMDist(Norm(), Gumbel(), mu = Norm())
+ 0.1812994
+> CvMDist(Norm(), UnivarMixingDistribution(Norm(1,2),Norm(0.5,3),
++ mixCoeff=c(0.2,0.8)),mu=Norm())
CvM distance
- 0.1227136
+ 0.1812994
> CvMDist(Norm(), Td(10))
CvM distance
0.00933072
@@ -652,100 +649,6 @@
>
>
> cleanEx()
-> nameEx("GEV-class")
-> ### * GEV-class
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: GEV-class
-> ### Title: Generalized EV distribution
-> ### Aliases: GEV-class initialize,GEV-method loc,GEV-method
-> ### loc<-,GEV-method location,GEV-method location<-,GEV-method
-> ### scale,GEV-method scale<-,GEV-method shape,GEV-method
-> ### shape<-,GEV-method +,GEV,numeric-method *,GEV,numeric-method
-> ### Keywords: distribution
->
-> ### ** Examples
->
-> (P1 <- new("GEV", loc = 0, scale = 1,shape = 0))
-Distribution Object of Class: GEV
- loc: 0
- scale: 1
- shape: 0
-> plot(P1)
-> shape(P1)
-[1] 0
-> loc(P1)
-[1] 0
-> scale(P1) <- 4
-> loc(P1) <- 2
-> plot(P1)
->
->
->
-> cleanEx()
-> nameEx("GEV")
-> ### * GEV
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: GEV
-> ### Title: Generating function for GEV-class
-> ### Aliases: GEV
-> ### Keywords: distribution
->
-> ### ** Examples
->
-> (P1 <- GEV(loc = 0, scale = 1, shape = 0))
-Distribution Object of Class: GEV
- loc: 0
- scale: 1
- shape: 0
-> plot(P1)
->
-> E(GEV())
-[1] 0.5772157
-> E(P1, function(x){x^2})
-[1] 1.97792
->
->
->
->
-> cleanEx()
-> nameEx("GEVParameter-class")
-> ### * GEVParameter-class
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: GEVParameter-class
-> ### Title: Parameter of generalized Pareto distributions
-> ### Aliases: GEVParameter-class loc,GEVParameter-method
-> ### loc<-,GEVParameter-method location,GEVParameter-method
-> ### location<-,GEVParameter-method scale,GEVParameter-method
-> ### scale<-,GEVParameter-method shape,GEVParameter-method
-> ### shape<-,GEVParameter-method
-> ### Keywords: distribution models
->
-> ### ** Examples
->
-> new("GEVParameter")
-An object of class "GEVParameter"
-Slot "loc":
-[1] 0
-
-Slot "scale":
-[1] 1
-
-Slot "shape":
-[1] 0.5
-
-Slot "name":
-[1] "Parameter of a generalized extreme value distribution"
-
->
->
->
-> cleanEx()
> nameEx("GLIntegrate")
> ### * GLIntegrate
>
@@ -766,200 +669,6 @@
>
>
> cleanEx()
-> nameEx("GPareto-class")
-> ### * GPareto-class
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: GPareto-class
-> ### Title: Generalized Pareto distribution
-> ### Aliases: GPareto-class initialize,GPareto-method loc,GPareto-method
-> ### loc<-,GPareto-method location,GPareto-method
-> ### location<-,GPareto-method scale,GPareto-method scale<-,GPareto-method
-> ### shape,GPareto-method shape<-,GPareto-method +,GPareto,numeric-method
-> ### *,GPareto,numeric-method
-> ### Keywords: distribution
->
-> ### ** Examples
->
-> (P1 <- new("GPareto", loc = 0, scale = 1,shape = 0))
-Distribution Object of Class: GPareto
- loc: 0
- scale: 1
- shape: 0
-> plot(P1)
-> shape(P1)
-[1] 0
-> loc(P1)
-[1] 0
-> scale(P1) <- 4
-> loc(P1) <- 2
-> plot(P1)
->
->
->
-> cleanEx()
-> nameEx("GPareto")
-> ### * GPareto
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: GPareto
-> ### Title: Generating function for GPareto-class
-> ### Aliases: GPareto
-> ### Keywords: distribution
->
-> ### ** Examples
->
-> (P1 <- GPareto(loc = 0, scale = 1, shape = 0))
-Distribution Object of Class: Exp
- rate: 1
-> plot(P1)
->
-> E(GPareto())
-[1] 1
-> E(P1, function(x){x^2})
-[1] 1.999971
->
->
->
->
-> cleanEx()
-> nameEx("GParetoParameter-class")
-> ### * GParetoParameter-class
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: GParetoParameter-class
-> ### Title: Parameter of generalized Pareto distributions
-> ### Aliases: GParetoParameter-class loc,GParetoParameter-method
-> ### loc<-,GParetoParameter-method location,GParetoParameter-method
-> ### location<-,GParetoParameter-method scale,GParetoParameter-method
-> ### scale<-,GParetoParameter-method shape,GParetoParameter-method
-> ### shape<-,GParetoParameter-method
-> ### Keywords: distribution models
->
-> ### ** Examples
->
-> new("GParetoParameter")
-An object of class "GParetoParameter"
-Slot "loc":
-[1] 0
-
-Slot "scale":
-[1] 1
-
-Slot "shape":
-[1] 0
-
-Slot "name":
-[1] "Parameter of a generalized Pareto distribution"
-
->
->
->
-> cleanEx()
-> nameEx("Gumbel-class")
-> ### * Gumbel-class
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: Gumbel-class
-> ### Title: Gumbel distribution
-> ### Aliases: Gumbel-class initialize,Gumbel-method loc,Gumbel-method
-> ### loc<-,Gumbel-method scale,Gumbel-method scale<-,Gumbel-method
-> ### +,Gumbel,numeric-method *,Gumbel,numeric-method
-> ### Keywords: distribution
->
-> ### ** Examples
->
-> (G1 <- new("Gumbel", loc = 1, scale = 2))
-Distribution Object of Class: Gumbel
- loc: 1
- scale: 2
-> plot(G1)
-> loc(G1)
-[1] 1
-> scale(G1)
-[1] 2
-> loc(G1) <- -1
-> scale(G1) <- 2
-> plot(G1)
->
->
->
-> cleanEx()
-> nameEx("Gumbel")
-> ### * Gumbel
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: Gumbel
-> ### Title: Generating function for Gumbel-class
-> ### Aliases: Gumbel
-> ### Keywords: distribution
->
-> ### ** Examples
->
-> (G1 <- Gumbel(loc = 1, scale = 2))
-Distribution Object of Class: Gumbel
- loc: 1
- scale: 2
-> plot(G1)
-> loc(G1)
-[1] 1
-> scale(G1)
-[1] 2
-> loc(G1) <- -1
-> scale(G1) <- 2
-> plot(G1)
->
-> E(Gumbel()) # Euler's constant
-[1] -0.5772157
-> E(G1, function(x){x^2})
-[1] 6.60347
->
-> ## The function is currently defined as
-> function(loc = 0, scale = 1){
-+ new("Gumbel", loc = loc, scale = scale)
-+ }
-function (loc = 0, scale = 1)
-{
- new("Gumbel", loc = loc, scale = scale)
-}
->
->
->
-> cleanEx()
-> nameEx("GumbelParameter-class")
-> ### * GumbelParameter-class
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: GumbelParameter-class
-> ### Title: Paramter of Gumbel distributions
-> ### Aliases: GumbelParameter-class loc loc,GumbelParameter-method loc<-
-> ### loc<-,GumbelParameter-method scale,GumbelParameter-method
-> ### scale<-,GumbelParameter-method
-> ### Keywords: distribution models
->
-> ### ** Examples
->
-> new("GumbelParameter")
-An object of class "GumbelParameter"
-Slot "loc":
-[1] 0
-
-Slot "scale":
-[1] 1
-
-Slot "name":
-[1] "parameter of a Gumbel distribution"
-
->
->
->
-> cleanEx()
> nameEx("HellingerDist")
> ### * HellingerDist
>
@@ -985,9 +694,10 @@
>
> ### ** Examples
>
-> HellingerDist(Norm(), Gumbel())
+> HellingerDist(Norm(), UnivarMixingDistribution(Norm(1,2),Norm(0.5,3),
++ mixCoeff=c(0.2,0.8)))
Hellinger distance
- 0.2204792
+ 0.4604849
> HellingerDist(Norm(), Td(10))
Hellinger distance
0.0598968
@@ -1044,9 +754,10 @@
>
> ### ** Examples
>
-> KolmogorovDist(Norm(), Gumbel())
+> KolmogorovDist(Norm(), UnivarMixingDistribution(Norm(1,2),Norm(0.5,3),
++ mixCoeff=c(0.2,0.8)))
Kolmogorov distance
- 0.1501485
+ 0.3092684
> KolmogorovDist(Norm(), Td(10))
Kolmogorov distance
0.01554215
@@ -1058,13 +769,13 @@
0.08863266
> KolmogorovDist(Norm(), rnorm(100))
Kolmogorov distance
- 0.0659914
+ 0.1149486
> KolmogorovDist((rbinom(50, size = 20, prob = 0.5)-10)/sqrt(5), Norm())
Kolmogorov distance
- 0.14
+ 0.1673604
> KolmogorovDist(rbinom(50, size = 20, prob = 0.5), Binom(size = 20, prob = 0.5))
Kolmogorov distance
- 0.1282777
+ 0.03172234
>
>
>
@@ -1105,7 +816,7 @@
}
0 + cond %*% 1 + 1 * r(n, ...)
}
-<environment: 0x59114e0>
+<environment: 0x451b408>
> d(D1)
function (x, cond, log = FALSE, ...)
{
@@ -1127,7 +838,7 @@
else d0 <- d0/1
return(d0)
}
-<environment: 0x59114e0>
+<environment: 0x451b408>
> p(D1)
function (q, cond, lower.tail = TRUE, log.p = FALSE, ...)
{
@@ -1154,7 +865,7 @@
p0 <- log(p0)
return(p0)
}
-<environment: 0x59114e0>
+<environment: 0x451b408>
> q(D1)
function (p, cond, lower.tail = TRUE, log.p = FALSE, ...)
{
@@ -1178,7 +889,7 @@
argList <- c(argList, dots)
1 * do.call(q, argList) + 0 + as.vector(cond %*% 1)
}
-<environment: 0x59114e0>
+<environment: 0x451b408>
> param(D1)
name: parameter of a linear regression model
theta: 1
@@ -1301,9 +1012,10 @@
>
> ### ** Examples
>
-> OAsymTotalVarDist(Norm(), Gumbel())
+> OAsymTotalVarDist(Norm(), UnivarMixingDistribution(Norm(1,2),Norm(0.5,3),
++ mixCoeff=c(0.2,0.8)))
minimal asym. total variation distance
- 0.2642218
+ 0.6278316
> OAsymTotalVarDist(Norm(), Td(10))
minimal asym. total variation distance
0.04191508
@@ -1337,96 +1049,6 @@
>
>
> cleanEx()
-> nameEx("Pareto-class")
-> ### * Pareto-class
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: Pareto-class
-> ### Title: Pareto distribution
-> ### Aliases: Pareto-class initialize,Pareto-method shape,Pareto-method
-> ### shape<-,Pareto-method Min,Pareto-method Min<-,Pareto-method
-> ### Keywords: distribution
->
-> ### ** Examples
->
-> (P1 <- new("Pareto", shape = 1, Min = 2))
-Distribution Object of Class: Pareto
- shape: 1
- Min: 2
-> plot(P1)
-> shape(P1)
-[1] 1
-> Min(P1)
-[1] 2
-> shape(P1) <- 4
-> Min(P1) <- 2
-> plot(P1)
->
->
->
-> cleanEx()
-> nameEx("Pareto")
-> ### * Pareto
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: Pareto
-> ### Title: Generating function for Pareto-class
-> ### Aliases: Pareto
-> ### Keywords: distribution
->
-> ### ** Examples
->
-> (P1 <- Pareto(shape = 1, Min = 1))
-Distribution Object of Class: Pareto
- shape: 1
- Min: 1
-> plot(P1)
->
-> E(Pareto())
-[1] Inf
-> E(P1, function(x){x^2})
-[1] 41
->
-> ## The function is currently defined as
-> function(shape = 1, Min = 1)
-+ new("Pareto", shape = shape, Min = Min)
-function (shape = 1, Min = 1)
-new("Pareto", shape = shape, Min = Min)
->
->
->
-> cleanEx()
-> nameEx("ParetoParameter-class")
-> ### * ParetoParameter-class
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: ParetoParameter-class
-> ### Title: Paramter of Pareto distributions
-> ### Aliases: ParetoParameter-class shape shape,ParetoParameter-method
-> ### shape<- shape<-,ParetoParameter-method Min,ParetoParameter-method
-> ### Min<-,ParetoParameter-method
-> ### Keywords: distribution models
->
-> ### ** Examples
->
-> new("ParetoParameter")
-An object of class "ParetoParameter"
-Slot "shape":
-[1] 1
-
-Slot "Min":
-[1] 1
-
-Slot "name":
-[1] "Parameter of a Pareto distribution"
-
->
->
->
-> cleanEx()
> nameEx("PrognCondDistribution-class")
> ### * PrognCondDistribution-class
>
@@ -1509,9 +1131,10 @@
>
> ### ** Examples
>
-> TotalVarDist(Norm(), Gumbel())
+> TotalVarDist(Norm(), UnivarMixingDistribution(Norm(1,2),Norm(0.5,3),
++ mixCoeff=c(0.2,0.8)))
total variation distance
- 0.1501365
+ 0.4677806
> TotalVarDist(Norm(), Td(10))
total variation distance
0.03107182
@@ -1583,9 +1206,8 @@
> ### var,AffLinLatticeDistribution-method var,CompoundDistribution-method
> ### var,Arcsine-method var,Beta-method var,Binom-method var,Cauchy-method
> ### var,Chisq-method var,Dirac-method var,DExp-method var,Exp-method
-> ### var,Fd-method var,Gammad-method var,Geom-method var,Gumbel-method
-> ### var,GPareto-method var,GEV-method var,Hyper-method var,Logis-method
-> ### var,Lnorm-method var,Nbinom-method var,Norm-method var,Pareto-method
+> ### var,Fd-method var,Gammad-method var,Geom-method var,Hyper-method
+> ### var,Logis-method var,Lnorm-method var,Nbinom-method var,Norm-method
> ### var,Pois-method var,Unif-method var,Weibull-method var,Td-method sd
> ### sd-methods sd,UnivariateDistribution-method sd,Norm-method median
> ### median,ANY-method median-methods median,UnivariateDistribution-method
@@ -1595,18 +1217,15 @@
> ### median,AffLinDiscreteDistribution-method
> ### median,AffLinLatticeDistribution-method median,Arcsine-method
> ### median,Cauchy-method median,Dirac-method median,DExp-method
-> ### median,Exp-method median,Geom-method median,Gumbel-method
-> ### median,GEV-method median,GPareto-method median,Logis-method
-> ### median,Lnorm-method median,Norm-method median,Pareto-method
-> ### median,Unif-method IQR IQR-methods IQR,ANY-method
-> ### IQR,UnivariateDistribution-method
+> ### median,Exp-method median,Geom-method median,Logis-method
+> ### median,Lnorm-method median,Norm-method median,Unif-method IQR
+> ### IQR-methods IQR,ANY-method IQR,UnivariateDistribution-method
> ### IQR,UnivariateCondDistribution-method IQR,AffLinDistribution-method
> ### IQR,AffLinAbscontDistribution-method
> ### IQR,AffLinDiscreteDistribution-method
> ### IQR,AffLinLatticeDistribution-method IQR,DiscreteDistribution-method
> ### IQR,Arcsine-method IQR,Cauchy-method IQR,Dirac-method IQR,DExp-method
-> ### IQR,Exp-method IQR,Geom-method IQR,Gumbel-method IQR,GPareto-method
-> ### IQR,GEV-method IQR,Logis-method IQR,Norm-method IQR,Pareto-method
+> ### IQR,Exp-method IQR,Geom-method IQR,Logis-method IQR,Norm-method
> ### IQR,Unif-method mad mad,ANY-method mad-methods
> ### mad,UnivariateDistribution-method mad,AffLinDistribution-method
> ### mad,AffLinAbscontDistribution-method
@@ -1623,12 +1242,11 @@
> ### skewness,Beta-method skewness,Binom-method skewness,Cauchy-method
> ### skewness,Chisq-method skewness,Dirac-method skewness,DExp-method
> ### skewness,Exp-method skewness,Fd-method skewness,Gammad-method
-> ### skewness,Geom-method skewness,Gumbel-method skewness,GEV-method
-> ### skewness,GPareto-method skewness,Hyper-method skewness,Logis-method
+> ### skewness,Geom-method skewness,Hyper-method skewness,Logis-method
> ### skewness,Lnorm-method skewness,Nbinom-method skewness,Norm-method
-> ### skewness,Pareto-method skewness,Pois-method skewness,Unif-method
-> ### skewness,Weibull-method skewness,Td-method kurtosis kurtosis-methods
-> ### kurtosis,ANY-method kurtosis,UnivariateDistribution-method
+> ### skewness,Pois-method skewness,Unif-method skewness,Weibull-method
+> ### skewness,Td-method kurtosis kurtosis-methods kurtosis,ANY-method
+> ### kurtosis,UnivariateDistribution-method
> ### kurtosis,AffLinDistribution-method
> ### kurtosis,AffLinAbscontDistribution-method
> ### kurtosis,AffLinDiscreteDistribution-method
@@ -1636,11 +1254,10 @@
> ### kurtosis,Beta-method kurtosis,Binom-method kurtosis,Cauchy-method
> ### kurtosis,Chisq-method kurtosis,Dirac-method kurtosis,DExp-method
> ### kurtosis,Exp-method kurtosis,Fd-method kurtosis,Gammad-method
-> ### kurtosis,Geom-method kurtosis,Gumbel-method kurtosis,GEV-method
-> ### kurtosis,GPareto-method kurtosis,Hyper-method kurtosis,Logis-method
+> ### kurtosis,Geom-method kurtosis,Hyper-method kurtosis,Logis-method
> ### kurtosis,Lnorm-method kurtosis,Nbinom-method kurtosis,Norm-method
-> ### kurtosis,Pareto-method kurtosis,Pois-method kurtosis,Unif-method
-> ### kurtosis,Weibull-method kurtosis,Td-method
+> ### kurtosis,Pois-method kurtosis,Unif-method kurtosis,Weibull-method
+> ### kurtosis,Td-method
> ### Keywords: methods distribution
>
> ### ** Examples
@@ -1677,26 +1294,6 @@
>
>
> cleanEx()
-> nameEx("distrExConstants")
-> ### * distrExConstants
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: distrExConstants
-> ### Title: Built-in Constants in package distrEx
-> ### Aliases: EULERMASCHERONICONSTANT APERYCONSTANT
-> ### Keywords: sysdata
->
-> ### ** Examples
->
-> EULERMASCHERONICONSTANT
-[1] 0.5772157
-> APERYCONSTANT
-[1] 1.202057
->
->
->
-> cleanEx()
> nameEx("distrExIntegrate")
> ### * distrExIntegrate
>
@@ -1782,6 +1379,39 @@
>
>
> cleanEx()
+> nameEx("distrExMOVED")
+> ### * distrExMOVED
+>
+> flush(stderr()); flush(stdout())
+>
+> ### Name: distrExMOVED
+> ### Title: Functionality of package "distrEx" which has moved to other
+> ### packages
+> ### Aliases: distrExMOVED MOVED
+> ### Keywords: programming distribution documentation
+>
+> ### ** Examples
+>
+> distrExMOVED()
+#############################################################################
+# On moving of functionality from package "distrEx" to package "RobExtremes"
+#############################################################################
+
+Attention:
+
+From package version 2.4 on, we have moved the functionality for extreme
+value theory distributions to the new package "RobExtremes".
+
+This concerns:
+the GEV, GPareto, Gumbel, Pareto classes and functional kMAD.
+
+To keep using this functionality install and load/attach package
+"RobExtremes".
+
+>
+>
+>
+> cleanEx()
> nameEx("distrExOptions")
> ### * distrExOptions
>
@@ -1851,29 +1481,6 @@
>
>
> cleanEx()
-> nameEx("kMAD")
-> ### * kMAD
->
-> flush(stderr()); flush(stdout())
->
-> ### Name: kMAD
-> ### Title: Asymmetric Median of Absolute Deviations for Skewed
-> ### Distributions
-> ### Aliases: kMAD kMAD-methods kMAD,UnivariateDistribution,numeric-method
-> ### kMAD,numeric,numeric-method
-> ### Keywords: scale estimator
->
-> ### ** Examples
->
-> x <- rnorm(100)
-> kMAD(x,k=10)
-[1] 0.1351646
-> kMAD(Norm(),k=10)
-[1] 0.1543645
->
->
->
-> cleanEx()
> nameEx("liesInSupport")
> ### * liesInSupport
>
@@ -2004,7 +1611,7 @@
> ### * <FOOTER>
> ###
> cat("Time elapsed: ", proc.time() - get("ptime", pos = 'CheckExEnv'),"\n")
-Time elapsed: 11.636 0.148 11.832 0 0
+Time elapsed: 11.58 0.152 11.798 0 0
> grDevices::dev.off()
null device
1
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