[Vinecopula-commits] r72 - in pkg: . R inst man src tests
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Mo Jan 19 12:17:55 CET 2015
Author: etobi
Date: 2015-01-19 12:17:55 +0100 (Mon, 19 Jan 2015)
New Revision: 72
Added:
pkg/man/pobs.Rd
Modified:
pkg/DESCRIPTION
pkg/NAMESPACE
pkg/R/BiCopSelect.r
pkg/R/RVineStructureSelect.r
pkg/R/gof_PIT.r
pkg/inst/ChangeLog
pkg/man/VineCopula-package.Rd
pkg/src/hfunc.c
pkg/src/incompleteBeta.c
pkg/tests/additonalExampleRuns.R
pkg/tests/additonalExampleRuns.Rout.save
Log:
* Import/Export of function 'pobs' from 'copula' package
* hfunc.c: Extension of Hinv1 and Hinv2 in analogy to Hfunc1 and Hfunc2
* incompleteBeta.c: Misuse of the C function abs (as reported by CRAN) corrected to fabs
* gof_PIT.r: Use of 'require()' replaced by 'requireNamespace' according to 'Writing R Extensions'
* Package 'ADGofTest' removed from Suggests (see 'Writing R Extensions' for usage of Suggests)
* Import of function 'ad.test' from 'ADGofTest' for 'gof_PIT.r'
Modified: pkg/DESCRIPTION
===================================================================
--- pkg/DESCRIPTION 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/DESCRIPTION 2015-01-19 11:17:55 UTC (rev 72)
@@ -1,13 +1,13 @@
Package: VineCopula
Type: Package
Title: Statistical inference of vine copulas
-Version: 1.3-1
-Date: 2014-09-10
+Version: 1.3-2
+Date: 2015-01-19
Author: Ulf Schepsmeier, Jakob Stoeber, Eike Christian Brechmann, Benedikt Graeler
Maintainer: Tobias Erhardt <tobias.erhardt at tum.de>
Depends: R (>= 2.11.0)
-Imports: MASS, mvtnorm, igraph, methods, copula
-Suggests: CDVine, TSP, ADGofTest
+Imports: MASS, mvtnorm, igraph, methods, copula, ADGofTest
+Suggests: CDVine, TSP
Description: This package provides functions for statistical inference of vine copulas. It contains tools for bivariate exploratory data analysis, bivariate copula selection and (vine) tree construction. Models can be estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods are also included. Data is assumed to lie in the unit hypercube (so-called copula data). For C- and D-vines links to the package CDVine are provided.
License: GPL (>= 2)
LazyLoad: yes
Modified: pkg/NAMESPACE
===================================================================
--- pkg/NAMESPACE 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/NAMESPACE 2015-01-19 11:17:55 UTC (rev 72)
@@ -4,6 +4,10 @@
import(copula)
import(methods)
+importFrom(ADGofTest, ad.test)
+
+export(pobs)
+
export(BiCopEst)
export(BiCopMetaContour)
export(BiCopChiPlot)
Modified: pkg/R/BiCopSelect.r
===================================================================
--- pkg/R/BiCopSelect.r 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/R/BiCopSelect.r 2015-01-19 11:17:55 UTC (rev 72)
@@ -2,8 +2,8 @@
if(is.null(u1)==TRUE || is.null(u2)==TRUE) stop("u1 and/or u2 are not set or have length zero.")
if(length(u1)!=length(u2)) stop("Lengths of 'u1' and 'u2' do not match.")
if(length(u1)<2) stop("Number of observations has to be at least 2.")
- if(any(u1>1) || any(u1<0)) stop("Data has be in the interval [0,1].")
- if(any(u2>1) || any(u2<0)) stop("Data has be in the interval [0,1].")
+ if(any(u1>1) || any(u1<0)) stop("Data has to be in the interval [0,1].")
+ if(any(u2>1) || any(u2<0)) stop("Data has to be in the interval [0,1].")
if(!is.na(familyset[1])) for(i in 1:length(familyset)) if(!(familyset[i] %in% c(0:10,13,14,16:20,23,24,26:30,33,34,36,37,38,39,40,104,114,124,134,204,214,224,234))) stop("Copula family not implemented.")
if(selectioncrit != "AIC" && selectioncrit != "BIC") stop("Selection criterion not implemented.")
if(level < 0 & level > 1) stop("Significance level has to be between 0 and 1.")
@@ -246,7 +246,7 @@
optiout[[37]] = MLE_intern(cbind(data1,data2),start[[37]],37,weights=weights)
if(optiout[[37]]$par[1] >= -0.1 | optiout[[37]]$par[2] >= -1.1){
if(optiout[[37]]$par[1] >= -0.1){
- todo[todo==37] = 24
+ todo[todo==37] = 34
todo = unique(todo)
}else if(optiout[[37]]$par[2] >= -1.1){
todo[todo==37] = 33
@@ -260,10 +260,10 @@
optiout[[38]] = MLE_intern(cbind(data1,data2),start[[38]],38,weights=weights)
if(optiout[[38]]$par[1] >= -1.1 | optiout[[38]]$par[2] >= -1.1){
if(optiout[[38]]$par[1] >= -1.1){
- todo[todo==38] = 24
+ todo[todo==38] = 34
todo = unique(todo)
}else if(optiout[[38]]$par[2] >= -1.1){
- todo[todo==38] = 26
+ todo[todo==38] = 36
todo = unique(todo)
}
optiout[[38]] = list()
Modified: pkg/R/RVineStructureSelect.r
===================================================================
--- pkg/R/RVineStructureSelect.r 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/R/RVineStructureSelect.r 2015-01-19 11:17:55 UTC (rev 72)
@@ -1,14 +1,14 @@
RVineStructureSelect = function(data,familyset=NA,type=0,selectioncrit="AIC",indeptest=FALSE,level=0.05,trunclevel=NA,progress=FALSE,weights=NA){
- library(igraph)
+
if(type == 0) type = "RVine" else if(type == 1) type = "CVine"
if(type != "RVine" & type != "CVine") stop("Vine model not implemented.")
- n = dim(data)[2]
- d = dim(data)[1]
+ d = n = dim(data)[2]
+ N = dim(data)[1]
- if(dim(data)[1]<2) stop("Number of observations has to be at least 2.")
- if(d<2) stop("Dimension has to be at least 2.")
- if(any(data>1) || any(data<0)) stop("Data has be in the interval [0,1].")
+ if(N<2) stop("Number of observations has to be at least 2.")
+ if(d<3) stop("Dimension has to be at least 3.")
+ if(any(data>1) || any(data<0)) stop("Data has to be in the interval [0,1].")
if(!is.na(familyset[1])) for(i in 1:length(familyset)) if(!(familyset[i] %in% c(0,1:10,13,14,16:20,23,24,26:30,33,34,36:40, 104,114,124,134,204,214,224,234))) stop("Copula family not implemented.")
if(selectioncrit != "AIC" && selectioncrit != "BIC") stop("Selection criterion not implemented.")
Modified: pkg/R/gof_PIT.r
===================================================================
--- pkg/R/gof_PIT.r 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/R/gof_PIT.r 2015-01-19 11:17:55 UTC (rev 72)
@@ -106,8 +106,11 @@
S[i]=sum(tmp[i,])
}
if(statisticName==1 && method==1){ # Macht nur Sinn bei Breymann
- require(ADGofTest)
- pvalue=ad.test(S,pchisq,df=d)$p.value
+ if(requireNamespace("ADGofTest", quietly = TRUE)) {
+ pvalue=ADGofTest::ad.test(S,pchisq,df=d)$p.value
+ } else {
+ stop("For Anderson-Darling 'statistic' the package 'ADGofTest' has to be installed")
+ }
}
else if(statisticName==2 && method==1)
pvalue=ks.test(S,"pchisq",df=d)$p.value
Modified: pkg/inst/ChangeLog
===================================================================
--- pkg/inst/ChangeLog 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/inst/ChangeLog 2015-01-19 11:17:55 UTC (rev 72)
@@ -1,10 +1,29 @@
Changes for R-package VineCopula
-Current authors: Ulf Schepsmeier, Tobias Erhardt and Benedikt Graeler
+Current authors: Ulf Schepsmeier, Thomas Nagler and Benedikt Graeler
Former authors: Eike Brechmann and Jakob Stoeber
-Maintainer: Tobias Erhardt <tobias.erhardt at tum.de>
+Maintainer: Tobias Erhardt <tobias.erhardt at tum.de> and Thomas Nagler <thomas.nagler at tum.de>
+Version 1.3-2 (January 19, 2015)
+
+- New author: Thomas Nagler
+
+- New functionality:
+ * Import/Export of function 'pobs' from 'copula' package
+
+- Bug fix:
+ * RVineStructureSelect: Bug concerning the dimensions of input data/security queries fixed (Reported by Sarka Cerna, Radek Solnicky and Ludovic Theate. Thanks a lot!)
+ * RVineStructureSelect: Correct handling of rotated BBs and Tawns (fit.ACopula, as.RVM)
+ * BiCopSelect, BiCopEst: Improved starting values for Tawn MLE
+ * hfunc.c: Correct Hfunc1 for Tawns;
+ * hfunc.c: Bound all results to lie in [0,1] (Hfunc1 and Hfunc2)
+ * hfunc.c: Extension of Hinv1 and Hinv2 in analogy to Hfunc1 and Hfunc2
+ * incompleteBeta.c: Misuse of the C function abs (as reported by CRAN) corrected to fabs
+ * gof_PIT.r: Use of 'require()' replaced by 'requireNamespace' according to 'Writing R Extensions'
+ * Package 'ADGofTest' removed from Suggests (see 'Writing R Extensions' for usage of Suggests)
+ * Import of function 'ad.test' from 'ADGofTest' for 'gof_PIT.r'
+
Version 1.3-1 (September 10, 2014)
- Bug fix:
Modified: pkg/man/VineCopula-package.Rd
===================================================================
--- pkg/man/VineCopula-package.Rd 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/man/VineCopula-package.Rd 2015-01-19 11:17:55 UTC (rev 72)
@@ -80,8 +80,8 @@
\tabular{ll}{
Package: \tab VineCopula\cr
Type: \tab Package\cr
-Version: \tab 1.3-1\cr
-Date: \tab 2013-09-10\cr
+Version: \tab 1.3-2\cr
+Date: \tab 2015-01-19\cr
License: \tab GPL (>=2)\cr
Depends: \tab R (\eqn{\geq 2.11.0}{>= 2.11.0})
Imports: MASS, mvtnorm, igraph, methods, copula \cr
Added: pkg/man/pobs.Rd
===================================================================
--- pkg/man/pobs.Rd (rev 0)
+++ pkg/man/pobs.Rd 2015-01-19 11:17:55 UTC (rev 72)
@@ -0,0 +1,46 @@
+\name{pobs}
+\alias{pobs}
+\title{Pseudo-Observations}
+\description{
+ Compute the pseudo-observations for the given data matrix.
+}
+\usage{
+pobs(x, na.last = "keep",
+ ties.method = c("average", "first", "random", "max", "min"),
+ lower.tail = TRUE)
+}
+\arguments{
+ \item{x}{\eqn{n\times d}{n x d}-matrix of random variates to be converted to
+ pseudo-observations.}
+ \item{na.last, ties.method}{are passed to \code{\link{rank}}; see
+ there.}
+ \item{lower.tail}{\code{\link{logical}} which, if \code{FALSE},
+ returns the pseudo-observations when applying the
+ empirical marginal survival functions.}
+}
+\value{matrix of the same dimensions as \code{x} containing the
+ pseudo-observations.
+}
+\details{
+ Given \eqn{n} realizations
+ \eqn{\bm{x}_i=(x_{i1},\dots,x_{id})^T}{x_i=(x_{i1},...,x_{id})},
+ \eqn{i\in\{1,\dots,n\}}{i in {1,...,n}} of a random vector \eqn{\bm{X}}{X},
+ the pseudo-observations are defined via \eqn{u_{ij}=r_{ij}/(n+1)} for
+ \eqn{i\in\{1,\dots,n\}}{i in {1,...,n}} and \eqn{j\in\{1,\dots,d\}}{j in
+ {1,...,d}}, where \eqn{r_{ij}} denotes the rank of \eqn{x_{ij}} among all
+ \eqn{x_{kj}}, \eqn{k\in\{1,\dots,n\}}{k in {1,...,n}}. The
+ pseudo-observations can thus also be computed by component-wise applying the
+ empirical distribution functions to the data and scaling the result by
+ \eqn{n/(n+1)}. This asymptotically negligible scaling factor is used to
+ force the variates to fall inside the open unit hypercube, for example, to
+ avoid problems with density evaluation at the boundaries. Note that
+ \code{pobs(, lower.tail=FALSE)} simply returns \code{1-pobs()}.
+}
+\note{This function is borrowed from the \code{\link[copula]{copula-package}}, see \code{\link[copula]{pobs}}.}
+\author{Marius Hofert}
+\examples{
+## Simple definition of the function:
+pobs
+}
+
+
Modified: pkg/src/hfunc.c
===================================================================
--- pkg/src/hfunc.c 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/src/hfunc.c 2015-01-19 11:17:55 UTC (rev 72)
@@ -973,7 +973,33 @@
else if(v[i]>UMAX) v[i]=UMAX;
}
- if(((*family ==23) | (*family ==24) | (*family==26) | (*family ==27) | (*family ==28) | (*family==29) | (*family==30) | (*family==61) ))
+ if((*family)==43)
+ {
+ nfamily=3;
+ if(*theta > 0){
+ ntheta=2*(*theta)/(1-*theta);
+ Hinv(&nfamily, n, u, v, &ntheta, &nnu, out);
+ }else{
+ ntheta=-2*(*theta)/(1+*theta);
+ for (int i = 0; i < *n; ++i) {negv[i]=1 - v[i];}
+ Hinv(&nfamily, n, u, negv, &ntheta, &nnu, out);
+ for (int i = 0; i < *n; i++) {out[i]=1-out[i];};
+ }
+ }
+ else if((*family)==44)
+ {
+ nfamily=4;
+ if(*theta > 0){
+ ntheta=1/(1-*theta);
+ Hinv(&nfamily, n, u, v, &ntheta, &nnu, out);
+ }else{
+ ntheta=1/(1+*theta);
+ for (int i = 0; i < *n; ++i) {negv[i]=1 - v[i];}
+ Hinv(&nfamily, n, u, negv, &ntheta, &nnu, out);
+ for (int i = 0; i < *n; i++) {out[i]=1-out[i];};
+ }
+ }
+ else if(((*family ==23) | (*family ==24) | (*family==26) | (*family ==27) | (*family ==28) | (*family==29) | (*family==30) | (*family==61) ))
{
nfamily=(*family)-20;
for (int i = 0; i < *n; ++i) {negv[i]=1 - v[i];}
@@ -1028,7 +1054,33 @@
else if(v[i]>UMAX) v[i]=UMAX;
}
- if(((*family ==23) | (*family ==24) | (*family==26) | (*family ==27) | (*family ==28) | (*family==29) | (*family==30) | (*family==61) ))
+ if((*family)==43)
+ {
+ nfamily=3;
+ if(*theta > 0){
+ ntheta=2*(*theta)/(1-*theta);
+ Hinv(&nfamily, n, v, u, &ntheta, &nnu, out);
+ }else{
+ ntheta=-2*(*theta)/(1+*theta);
+ for (int i = 0; i < *n; ++i) {negv[i]=1 - v[i];}
+ Hinv(&nfamily, n, negv, u, &ntheta, &nnu, out);
+ for (int i = 0; i < *n; i++) {out[i]=1-out[i];};
+ }
+ }
+ else if((*family)==44)
+ {
+ nfamily=4;
+ if(*theta > 0){
+ ntheta=1/(1-*theta);
+ Hinv(&nfamily, n, v, u, &ntheta, &nnu, out);
+ }else{
+ ntheta=1/(1+*theta);
+ for (int i = 0; i < *n; ++i) {negv[i]=1 - v[i];}
+ Hinv(&nfamily, n, negv, u, &ntheta, &nnu, out);
+ for (int i = 0; i < *n; i++) {out[i]=1-out[i];};
+ }
+ }
+ else if(((*family ==23) | (*family ==24) | (*family==26) | (*family ==27) | (*family ==28) | (*family==29) | (*family==30) | (*family==61) ))
{
nfamily = (*family)-20;
for (int i = 0; i < *n; ++i) {negv[i]=1 - v[i];}
Modified: pkg/src/incompleteBeta.c
===================================================================
--- pkg/src/incompleteBeta.c 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/src/incompleteBeta.c 2015-01-19 11:17:55 UTC (rev 72)
@@ -326,7 +326,7 @@
// Scale derivatives to prevent overflow
Rn=dan[0];
- if(abs(dbn[0])>abs(dan[0]))
+ if(fabs(dbn[0])>fabs(dan[0]))
{
Rn=dbn[0];
}
@@ -339,7 +339,7 @@
dan[2]=dan[2]/Rn;
dbn[1]=dbn[1]/Rn;
dbn[2]=dbn[2]/Rn;
- if(abs(dbn[0])>abs(dan[0]))
+ if(fabs(dbn[0])>fabs(dan[0]))
{
dan[0]=dan[0]/dbn[0];
dbn[0]=1;
@@ -385,8 +385,8 @@
for(i=0;i<3;i++)
{
- d1[i]=MAX(err,abs(der[i]));
- d1[i]=abs(der_old[i]-der[i])/d1[i];
+ d1[i]=MAX(err,fabs(der[i]));
+ d1[i]=fabs(der_old[i]-der[i])/d1[i];
der_old[i]=der[i];
}
d=MAX(MAX(d1[0],d1[1]),d1[2]);
Modified: pkg/tests/additonalExampleRuns.R
===================================================================
--- pkg/tests/additonalExampleRuns.R 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/tests/additonalExampleRuns.R 2015-01-19 11:17:55 UTC (rev 72)
@@ -1,5 +1,5 @@
## switch for testing the following time consuming examples
-docheck <- FALSE
+docheck <- TRUE
if(docheck){
Modified: pkg/tests/additonalExampleRuns.Rout.save
===================================================================
--- pkg/tests/additonalExampleRuns.Rout.save 2015-01-08 13:19:13 UTC (rev 71)
+++ pkg/tests/additonalExampleRuns.Rout.save 2015-01-19 11:17:55 UTC (rev 72)
@@ -1,7 +1,7 @@
-R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
-Copyright (C) 2013 The R Foundation for Statistical Computing
-Platform: i386-w64-mingw32/i386 (32-bit)
+R Under development (unstable) (2015-01-14 r67471) -- "Unsuffered Consequences"
+Copyright (C) 2015 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
@@ -16,7 +16,7 @@
Type 'q()' to quit R.
> ## switch for testing the following time consuming examples
-> docheck <- FALSE
+> docheck <- TRUE
>
> if(docheck){
+
@@ -245,7 +245,524 @@
+ # End(Not run)
+
+ }
+iter 10 value -1111.253373
+iter 20 value -1111.562935
+iter 30 value -1111.991155
+iter 40 value -1112.008869
+iter 50 value -1112.062737
+iter 60 value -1112.114981
+iter 70 value -1112.168354
+final value -1112.174829
+converged
+
+Attaching package: 'copula'
+
+The following object is masked from 'package:VineCopula':
+
+ fitCopula
+
+ [,1] [,2] [,3] [,4]
+ [1,] 0.7743684903 0.197224191 0.9780138442 0.201327350
+ [2,] 0.3612444273 0.742611942 0.9787284394 0.498113709
+ [3,] 0.0133158357 0.259946129 0.7758930807 0.016379053
+ [4,] 0.0957447842 0.142163540 0.2111262376 0.811256444
+ [5,] 0.0365471959 0.891637413 0.4832364111 0.466664528
+ [6,] 0.9842240803 0.601345547 0.0383443474 0.141495691
+ [7,] 0.8063855253 0.266685676 0.0427020509 0.612174522
+ [8,] 0.5533483981 0.853500765 0.4697785398 0.397616561
+ [9,] 0.8046367336 0.508897385 0.6349153537 0.494251721
+ [10,] 0.2801308988 0.908710354 0.7841161578 0.558997022
+ [11,] 0.2444374892 0.530970655 0.1183959420 0.983383433
+ [12,] 0.8977528436 0.738573763 0.3773106968 0.606168831
+ [13,] 0.5121942617 0.989246660 0.0691335856 0.084620626
+ [14,] 0.1299455715 0.746132021 0.0388791817 0.685635417
+ [15,] 0.1439773615 0.891079958 0.0896361163 0.037732719
+ [16,] 0.7748743587 0.812063878 0.2606025457 0.651594998
+ [17,] 0.9238038510 0.266106121 0.2661329871 0.910917896
+ [18,] 0.5905635331 0.918147645 0.6037942769 0.328263949
+ [19,] 0.6661178111 0.874787498 0.0688752665 0.793463009
+ [20,] 0.5714270058 0.048944066 0.9803513540 0.914537349
+ [21,] 0.7659584857 0.775846373 0.3125150499 0.842217308
+ [22,] 0.3141499059 0.756563893 0.9675243802 0.169422925
+ [23,] 0.6968751778 0.872650789 0.1324707782 0.078513110
+ [24,] 0.3782238525 0.579624758 0.5364251249 0.108531924
+ [25,] 0.7403151453 0.451789635 0.6461082133 0.749298733
+ [26,] 0.5782921447 0.369409172 0.8813395619 0.599252820
+ [27,] 0.2417592837 0.991064092 0.2720299934 0.225755411
+ [28,] 0.3065364894 0.736066050 0.2058734051 0.242183074
+ [29,] 0.4066693399 0.411321262 0.2207378661 0.868450051
+ [30,] 0.7642357713 0.217509840 0.8997187309 0.816142634
+ [31,] 0.1601893809 0.566658863 0.1824444511 0.867856246
+ [32,] 0.0937132754 0.638223762 0.9734738106 0.009292930
+ [33,] 0.7511339965 0.103923442 0.3436669305 0.591091853
+ [34,] 0.5735987651 0.951237907 0.6553645076 0.377351639
+ [35,] 0.9499114281 0.578954988 0.4752220884 0.254485867
+ [36,] 0.3758446192 0.052798728 0.4420929269 0.697271063
+ [37,] 0.7591612791 0.113734436 0.5760056155 0.099177053
+ [38,] 0.1097460489 0.089127219 0.4737118890 0.356403576
+ [39,] 0.2159698724 0.573215632 0.0016242201 0.718207759
+ [40,] 0.2651135898 0.153830340 0.2900760283 0.067229538
+ [41,] 0.9318368479 0.133479226 0.8126322976 0.759258038
+ [42,] 0.3713044880 0.952166667 0.0996854173 0.307502680
+ [43,] 0.4942615442 0.799964843 0.8426329251 0.647393905
+ [44,] 0.6565674008 0.228435223 0.9240007692 0.485242063
+ [45,] 0.5546194194 0.852844047 0.0898779368 0.740950904
+ [46,] 0.3131348765 0.100732039 0.1840703834 0.213704721
+ [47,] 0.6256980768 0.428000274 0.6235166367 0.577644360
+ [48,] 0.1489856443 0.575752754 0.6500458319 0.638607423
+ [49,] 0.7874355474 0.080619973 0.2898914691 0.223104578
+ [50,] 0.5703688168 0.256050143 0.5171432674 0.769378419
+ [51,] 0.1717156325 0.339101385 0.0346307140 0.378165489
+ [52,] 0.9764601048 0.628306977 0.7929682066 0.576068396
+ [53,] 0.1587420395 0.375621754 0.7126429004 0.642280536
+ [54,] 0.2176803409 0.835219718 0.7511949919 0.092663403
+ [55,] 0.1462978539 0.224104125 0.2406677336 0.479203157
+ [56,] 0.1708911972 0.593215867 0.4259613717 0.782201018
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+[315,] 0.1381337575 0.230298426 0.9294903460 0.636520796
[TRUNCATED]
To get the complete diff run:
svnlook diff /svnroot/vinecopula -r 72
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