CRAN Package Check Results for Package ndtv

Last updated on 2018-02-22 16:47:51 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.10.0 3.89 181.81 185.70 ERROR
r-devel-linux-x86_64-debian-gcc 0.10.0 3.63 649.25 652.88 ERROR
r-devel-linux-x86_64-fedora-clang 0.10.0 497.00 OK
r-devel-linux-x86_64-fedora-gcc 0.10.0 469.80 OK
r-devel-windows-ix86+x86_64 0.10.0 11.00 167.00 178.00 OK --no-vignettes
r-patched-linux-x86_64 0.10.0 1.67 187.04 188.71 ERROR
r-patched-solaris-x86 0.10.0 624.00 OK --no-build-vignettes
r-release-linux-x86_64 0.10.0 1.68 239.08 240.76 ERROR
r-release-windows-ix86+x86_64 0.10.0 7.00 183.00 190.00 OK --no-vignettes
r-release-osx-x86_64 0.10.0 NOTE
r-oldrel-windows-ix86+x86_64 0.10.0 4.00 254.00 258.00 OK --no-vignettes
r-oldrel-osx-x86_64 0.10.0 OK

Check Details

Version: 0.10.0
Check: tests
Result: ERROR
     Running ‘compute.animation_tests.R’ [1s/1s]
     Running ‘d3_animation_tests.R’ [4s/4s]
     Running ‘effects_tests.R’ [7s/7s]
     Running ‘filmstrip_tests.R’ [2s/2s]
     Running ‘layout_tests.R’ [1s/1s]
     Running ‘networkAnimationTest.R’ [2s/2s]
     Running ‘proximity.timeline_test.R’ [2s/2s]
    Running the tests in ‘tests/proximity.timeline_test.R’ failed.
    Complete output:
     > # some tests tfor the proximity.timeline function
     > require(ndtv)
     Loading required package: ndtv
     Loading required package: network
     network: Classes for Relational Data
     Version 1.13.0 created on 2015-08-31.
     copyright (c) 2005, Carter T. Butts, University of California-Irvine
     Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Martina Morris, University of Washington
     Skye Bender-deMoll, University of Washington
     For citation information, type citation("network").
     Type help("network-package") to get started.
    
     Loading required package: networkDynamic
    
     networkDynamic: version 0.9.0, created on 2016-01-12
     Copyright (c) 2016, Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Skye Bender-deMoll, University of Washington
     with contributions from
     Zack Almquist, University of California -- Irvine
     David R. Hunter, Penn State University
     Li Wang
     Kirk Li, University of Washington
     Steven M. Goodreau, University of Washington
     Jeffrey Horner
     Martina Morris, University of Washington
     Based on "statnet" project software (statnet.org).
     For license and citation information see statnet.org/attribution
     or type citation("networkDynamic").
    
     Loading required package: animation
     Loading required package: sna
     Loading required package: statnet.common
    
     Attaching package: 'statnet.common'
    
     The following object is masked from 'package:base':
    
     order
    
     sna: Tools for Social Network Analysis
     Version 2.4 created on 2016-07-23.
     copyright (c) 2005, Carter T. Butts, University of California-Irvine
     For citation information, type citation("sna").
     Type help(package="sna") to get started.
    
    
     ndtv: version 0.10.0, created on 2016-5-6
     Copyright (c) 2016, Skye Bender-deMoll, University of Washington
     with contributions from
     Martina Morris, University of Washington
     Based on "statnet" project software (statnet.org).
     For license and citation information see statnet.org/attribution
     or type citation("ndtv").
    
     > require(testthat)
     Loading required package: testthat
     >
     > test<-network.initialize(10)
     > add.edges.active(test,head=1:9,tail=2:10,onset=0,terminus=10)
     > add.edges.active(test,head=1,tail=3,onset=1,terminus=2)
     > proximity.timeline(test)
     collapsing slice networks ...
     computing vertex positions using 1D isoMDS layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     rendering splines for each vertex ...
     >
     > data(McFarland_cls33_10_16_96)
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),vertex.cex=(cls33_10_16_96%v%'type'=='instructor')*4+1,labels.at=45)
     collapsing slice networks ...
     computing vertex positions using 1D isoMDS layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     >
     > # test algorithm types
     > # isoMDS is default, so already tested
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='sammon')
     collapsing slice networks ...
     computing vertex positions using 1D sammon layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='cmdscale')
     collapsing slice networks ...
     computing vertex positions using 1D cmdscale layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='gvNeato')
     collapsing slice networks ...
     computing vertex positions using 1D gvNeato layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     There were 18 warnings (use warnings() to see them)
     > # only check MDSJ if allready installed
     > has.mdsj<-ndtv:::check.mdsj(ask=FALSE)
     The MDSJ Java library does not appear to be installed. The ndtv package can use MDSJ to provide a fast accurate layout algorithm. It can be downloaded from http://algo.uni-konstanz.de/software/mdsj/
     Error in install.mdsj(mdsj.dir) :
     Unable to install MDSJ because the package path /home/hornik/tmp/R.check/r-devel-clang/Work/build/Packages/ndtv/java/does not appear to have write permissions
     Calls: <Anonymous> -> install.mdsj
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.10.0
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    Loading required package: network
    network: Classes for Relational Data
    Version 1.13.0 created on 2015-08-31.
    copyright (c) 2005, Carter T. Butts, University of California-Irvine
     Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Martina Morris, University of Washington
     Skye Bender-deMoll, University of Washington
     For citation information, type citation("network").
     Type help("network-package") to get started.
    
    Loading required package: networkDynamic
    
    networkDynamic: version 0.9.0, created on 2016-01-12
    Copyright (c) 2016, Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Skye Bender-deMoll, University of Washington
     with contributions from
     Zack Almquist, University of California -- Irvine
     David R. Hunter, Penn State University
     Li Wang
     Kirk Li, University of Washington
     Steven M. Goodreau, University of Washington
     Jeffrey Horner
     Martina Morris, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("networkDynamic").
    
    Loading required package: animation
    Loading required package: sna
    Loading required package: statnet.common
    
    Attaching package: ‘statnet.common’
    
    The following object is masked from ‘package:base’:
    
     order
    
    sna: Tools for Social Network Analysis
    Version 2.4 created on 2016-07-23.
    copyright (c) 2005, Carter T. Butts, University of California-Irvine
     For citation information, type citation("sna").
     Type help(package="sna") to get started.
    
    
    ndtv: version 0.10.0, created on 2016-5-6
    Copyright (c) 2016, Skye Bender-deMoll, University of Washington
     with contributions from
     Martina Morris, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("ndtv").
    
    No slice.par found, using
    Calculating layout for network slice from time 1 to 2
    Calculating layout for network slice from time 2 to 3
    Calculating layout for network slice from time 3 to 4
    Calculating layout for network slice from time 4 to 5
    Calculating layout for network slice from time 5 to 6
    Calculating layout for network slice from time 6 to 7
    Calculating layout for network slice from time 7 to 8
    Calculating layout for network slice from time 8 to 9
    Calculating layout for network slice from time 9 to 10
    Calculating layout for network slice from time 10 to 11
    Calculating layout for network slice from time 11 to 12
    Calculating layout for network slice from time 12 to 13
    rendering 10 frames for slice 0
    rendering 10 frames for slice 1
    rendering 10 frames for slice 2
    rendering 10 frames for slice 3
    rendering 10 frames for slice 4
    rendering 10 frames for slice 5
    rendering 10 frames for slice 6
    rendering 10 frames for slice 7
    rendering 10 frames for slice 8
    rendering 10 frames for slice 9
    rendering 10 frames for slice 10
    rendering 10 frames for slice 11
    Loading required package: tergm
    Loading required package: ergm
    
    ergm: version 3.8.0, created on 2017-08-18
    Copyright (c) 2017, Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Carter T. Butts, University of California -- Irvine
     Steven M. Goodreau, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Martina Morris, University of Washington
     with contributions from
     Li Wang
     Kirk Li, University of Washington
     Skye Bender-deMoll, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("ergm").
    
    NOTE: Versions before 3.6.1 had a bug in the
    implementation of the bd() constriant which distorted
    the sampled distribution somewhat. In addition,
    Sampson's Monks datasets had mislabeled vertices. See
    the NEWS and the documentation for more details.
    
    
    tergm: version 3.4.1, created on 2017-09-12
    Copyright (c) 2017, Pavel N. Krivitsky, University of Wollongong
     Mark S. Handcock, University of California -- Los Angeles
     with contributions from
     David R. Hunter, Penn State University
     Steven M. Goodreau, University of Washington
     Martina Morris, University of Washington
     Nicole Bohme Carnegie, New York University
     Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Skye Bender-deMoll
     Li Wang
     Kirk Li, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("tergm").
    
    Starting maximum likelihood estimation via MCMLE:
    Iteration 1 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.3103.
    Step length converged once. Increasing MCMC sample size.
    Iteration 2 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.008687.
    Step length converged twice. Stopping.
    This model was fit using MCMC. To examine model diagnostics and check for degeneracy, use the mcmc.diagnostics() function.
    
    Error: processing vignette ‘ndtv.Rnw’ failed with diagnostics:
     chunk 9 (label = mdsj_actual_download)
    Error in ndtv:::install.mdsj(mdsj.dir) :
     Unable to install MDSJ because the package path /home/hornik/tmp/R.check/r-devel-clang/Work/build/Packages/ndtv/java/does not appear to have write permissions
    Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.10.0
Check: tests
Result: ERROR
     Running ‘compute.animation_tests.R’ [1s/3s]
     Running ‘d3_animation_tests.R’ [3s/5s]
     Running ‘effects_tests.R’ [6s/8s]
     Running ‘filmstrip_tests.R’ [2s/3s]
     Running ‘layout_tests.R’ [1s/1s]
     Running ‘networkAnimationTest.R’ [1s/3s]
     Running ‘proximity.timeline_test.R’ [1s/2s]
    Running the tests in ‘tests/proximity.timeline_test.R’ failed.
    Complete output:
     > # some tests tfor the proximity.timeline function
     > require(ndtv)
     Loading required package: ndtv
     Loading required package: network
     network: Classes for Relational Data
     Version 1.13.0 created on 2015-08-31.
     copyright (c) 2005, Carter T. Butts, University of California-Irvine
     Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Martina Morris, University of Washington
     Skye Bender-deMoll, University of Washington
     For citation information, type citation("network").
     Type help("network-package") to get started.
    
     Loading required package: networkDynamic
    
     networkDynamic: version 0.9.0, created on 2016-01-12
     Copyright (c) 2016, Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Skye Bender-deMoll, University of Washington
     with contributions from
     Zack Almquist, University of California -- Irvine
     David R. Hunter, Penn State University
     Li Wang
     Kirk Li, University of Washington
     Steven M. Goodreau, University of Washington
     Jeffrey Horner
     Martina Morris, University of Washington
     Based on "statnet" project software (statnet.org).
     For license and citation information see statnet.org/attribution
     or type citation("networkDynamic").
    
     Loading required package: animation
     Loading required package: sna
     Loading required package: statnet.common
    
     Attaching package: 'statnet.common'
    
     The following object is masked from 'package:base':
    
     order
    
     sna: Tools for Social Network Analysis
     Version 2.4 created on 2016-07-23.
     copyright (c) 2005, Carter T. Butts, University of California-Irvine
     For citation information, type citation("sna").
     Type help(package="sna") to get started.
    
    
     ndtv: version 0.10.0, created on 2016-5-6
     Copyright (c) 2016, Skye Bender-deMoll, University of Washington
     with contributions from
     Martina Morris, University of Washington
     Based on "statnet" project software (statnet.org).
     For license and citation information see statnet.org/attribution
     or type citation("ndtv").
    
     > require(testthat)
     Loading required package: testthat
     >
     > test<-network.initialize(10)
     > add.edges.active(test,head=1:9,tail=2:10,onset=0,terminus=10)
     > add.edges.active(test,head=1,tail=3,onset=1,terminus=2)
     > proximity.timeline(test)
     collapsing slice networks ...
     computing vertex positions using 1D isoMDS layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     rendering splines for each vertex ...
     >
     > data(McFarland_cls33_10_16_96)
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),vertex.cex=(cls33_10_16_96%v%'type'=='instructor')*4+1,labels.at=45)
     collapsing slice networks ...
     computing vertex positions using 1D isoMDS layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     >
     > # test algorithm types
     > # isoMDS is default, so already tested
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='sammon')
     collapsing slice networks ...
     computing vertex positions using 1D sammon layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='cmdscale')
     collapsing slice networks ...
     computing vertex positions using 1D cmdscale layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='gvNeato')
     collapsing slice networks ...
     computing vertex positions using 1D gvNeato layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     There were 18 warnings (use warnings() to see them)
     > # only check MDSJ if allready installed
     > has.mdsj<-ndtv:::check.mdsj(ask=FALSE)
     The MDSJ Java library does not appear to be installed. The ndtv package can use MDSJ to provide a fast accurate layout algorithm. It can be downloaded from http://algo.uni-konstanz.de/software/mdsj/
     Error in install.mdsj(mdsj.dir) :
     Unable to install MDSJ because the package path /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/ndtv/java/does not appear to have write permissions
     Calls: <Anonymous> -> install.mdsj
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.10.0
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    Loading required package: network
    network: Classes for Relational Data
    Version 1.13.0 created on 2015-08-31.
    copyright (c) 2005, Carter T. Butts, University of California-Irvine
     Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Martina Morris, University of Washington
     Skye Bender-deMoll, University of Washington
     For citation information, type citation("network").
     Type help("network-package") to get started.
    
    Loading required package: networkDynamic
    
    networkDynamic: version 0.9.0, created on 2016-01-12
    Copyright (c) 2016, Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Skye Bender-deMoll, University of Washington
     with contributions from
     Zack Almquist, University of California -- Irvine
     David R. Hunter, Penn State University
     Li Wang
     Kirk Li, University of Washington
     Steven M. Goodreau, University of Washington
     Jeffrey Horner
     Martina Morris, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("networkDynamic").
    
    Loading required package: animation
    Loading required package: sna
    Loading required package: statnet.common
    
    Attaching package: ‘statnet.common’
    
    The following object is masked from ‘package:base’:
    
     order
    
    sna: Tools for Social Network Analysis
    Version 2.4 created on 2016-07-23.
    copyright (c) 2005, Carter T. Butts, University of California-Irvine
     For citation information, type citation("sna").
     Type help(package="sna") to get started.
    
    
    ndtv: version 0.10.0, created on 2016-5-6
    Copyright (c) 2016, Skye Bender-deMoll, University of Washington
     with contributions from
     Martina Morris, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("ndtv").
    
    No slice.par found, using
    Calculating layout for network slice from time 1 to 2
    Calculating layout for network slice from time 2 to 3
    Calculating layout for network slice from time 3 to 4
    Calculating layout for network slice from time 4 to 5
    Calculating layout for network slice from time 5 to 6
    Calculating layout for network slice from time 6 to 7
    Calculating layout for network slice from time 7 to 8
    Calculating layout for network slice from time 8 to 9
    Calculating layout for network slice from time 9 to 10
    Calculating layout for network slice from time 10 to 11
    Calculating layout for network slice from time 11 to 12
    Calculating layout for network slice from time 12 to 13
    rendering 10 frames for slice 0
    rendering 10 frames for slice 1
    rendering 10 frames for slice 2
    rendering 10 frames for slice 3
    rendering 10 frames for slice 4
    rendering 10 frames for slice 5
    rendering 10 frames for slice 6
    rendering 10 frames for slice 7
    rendering 10 frames for slice 8
    rendering 10 frames for slice 9
    rendering 10 frames for slice 10
    rendering 10 frames for slice 11
    Loading required package: tergm
    Loading required package: ergm
    
    ergm: version 3.8.0, created on 2017-08-18
    Copyright (c) 2017, Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Carter T. Butts, University of California -- Irvine
     Steven M. Goodreau, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Martina Morris, University of Washington
     with contributions from
     Li Wang
     Kirk Li, University of Washington
     Skye Bender-deMoll, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("ergm").
    
    NOTE: Versions before 3.6.1 had a bug in the
    implementation of the bd() constriant which distorted
    the sampled distribution somewhat. In addition,
    Sampson's Monks datasets had mislabeled vertices. See
    the NEWS and the documentation for more details.
    
    
    tergm: version 3.4.1, created on 2017-09-12
    Copyright (c) 2017, Pavel N. Krivitsky, University of Wollongong
     Mark S. Handcock, University of California -- Los Angeles
     with contributions from
     David R. Hunter, Penn State University
     Steven M. Goodreau, University of Washington
     Martina Morris, University of Washington
     Nicole Bohme Carnegie, New York University
     Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Skye Bender-deMoll
     Li Wang
     Kirk Li, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("tergm").
    
    Starting maximum likelihood estimation via MCMLE:
    Iteration 1 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.2902.
    Step length converged once. Increasing MCMC sample size.
    Iteration 2 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.01596.
    Step length converged twice. Stopping.
    This model was fit using MCMC. To examine model diagnostics and check for degeneracy, use the mcmc.diagnostics() function.
    Killed
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.10.0
Check: tests
Result: ERROR
     Running ‘compute.animation_tests.R’ [4s/5s]
     Running ‘d3_animation_tests.R’ [8s/10s]
     Running ‘effects_tests.R’ [11s/14s]
     Running ‘filmstrip_tests.R’ [7s/9s]
     Running ‘layout_tests.R’ [3s/4s]
     Running ‘networkAnimationTest.R’ [5s/7s]
     Running ‘proximity.timeline_test.R’ [4s/5s]
    Running the tests in ‘tests/proximity.timeline_test.R’ failed.
    Complete output:
     > # some tests tfor the proximity.timeline function
     > require(ndtv)
     Loading required package: ndtv
     Loading required package: network
     network: Classes for Relational Data
     Version 1.13.0 created on 2015-08-31.
     copyright (c) 2005, Carter T. Butts, University of California-Irvine
     Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Martina Morris, University of Washington
     Skye Bender-deMoll, University of Washington
     For citation information, type citation("network").
     Type help("network-package") to get started.
    
     Loading required package: networkDynamic
    
     networkDynamic: version 0.9.0, created on 2016-01-12
     Copyright (c) 2016, Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Skye Bender-deMoll, University of Washington
     with contributions from
     Zack Almquist, University of California -- Irvine
     David R. Hunter, Penn State University
     Li Wang
     Kirk Li, University of Washington
     Steven M. Goodreau, University of Washington
     Jeffrey Horner
     Martina Morris, University of Washington
     Based on "statnet" project software (statnet.org).
     For license and citation information see statnet.org/attribution
     or type citation("networkDynamic").
    
     Loading required package: animation
     Loading required package: sna
     Loading required package: statnet.common
    
     Attaching package: 'statnet.common'
    
     The following object is masked from 'package:base':
    
     order
    
     sna: Tools for Social Network Analysis
     Version 2.4 created on 2016-07-23.
     copyright (c) 2005, Carter T. Butts, University of California-Irvine
     For citation information, type citation("sna").
     Type help(package="sna") to get started.
    
    
     ndtv: version 0.10.0, created on 2016-5-6
     Copyright (c) 2016, Skye Bender-deMoll, University of Washington
     with contributions from
     Martina Morris, University of Washington
     Based on "statnet" project software (statnet.org).
     For license and citation information see statnet.org/attribution
     or type citation("ndtv").
    
     > require(testthat)
     Loading required package: testthat
     >
     > test<-network.initialize(10)
     > add.edges.active(test,head=1:9,tail=2:10,onset=0,terminus=10)
     > add.edges.active(test,head=1,tail=3,onset=1,terminus=2)
     > proximity.timeline(test)
     collapsing slice networks ...
     computing vertex positions using 1D isoMDS layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     rendering splines for each vertex ...
     >
     > data(McFarland_cls33_10_16_96)
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),vertex.cex=(cls33_10_16_96%v%'type'=='instructor')*4+1,labels.at=45)
     collapsing slice networks ...
     computing vertex positions using 1D isoMDS layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     >
     > # test algorithm types
     > # isoMDS is default, so already tested
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='sammon')
     collapsing slice networks ...
     computing vertex positions using 1D sammon layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='cmdscale')
     collapsing slice networks ...
     computing vertex positions using 1D cmdscale layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='gvNeato')
     collapsing slice networks ...
     computing vertex positions using 1D gvNeato layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     There were 18 warnings (use warnings() to see them)
     > # only check MDSJ if allready installed
     > has.mdsj<-ndtv:::check.mdsj(ask=FALSE)
     The MDSJ Java library does not appear to be installed. The ndtv package can use MDSJ to provide a fast accurate layout algorithm. It can be downloaded from http://algo.uni-konstanz.de/software/mdsj/
     Error in install.mdsj(mdsj.dir) :
     Unable to install MDSJ because the package path /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/ndtv/java/does not appear to have write permissions
     Calls: <Anonymous> -> install.mdsj
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.10.0
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    Loading required package: network
    network: Classes for Relational Data
    Version 1.13.0 created on 2015-08-31.
    copyright (c) 2005, Carter T. Butts, University of California-Irvine
     Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Martina Morris, University of Washington
     Skye Bender-deMoll, University of Washington
     For citation information, type citation("network").
     Type help("network-package") to get started.
    
    Loading required package: networkDynamic
    
    networkDynamic: version 0.9.0, created on 2016-01-12
    Copyright (c) 2016, Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Skye Bender-deMoll, University of Washington
     with contributions from
     Zack Almquist, University of California -- Irvine
     David R. Hunter, Penn State University
     Li Wang
     Kirk Li, University of Washington
     Steven M. Goodreau, University of Washington
     Jeffrey Horner
     Martina Morris, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("networkDynamic").
    
    Loading required package: animation
    Loading required package: sna
    Loading required package: statnet.common
    
    Attaching package: ‘statnet.common’
    
    The following object is masked from ‘package:base’:
    
     order
    
    sna: Tools for Social Network Analysis
    Version 2.4 created on 2016-07-23.
    copyright (c) 2005, Carter T. Butts, University of California-Irvine
     For citation information, type citation("sna").
     Type help(package="sna") to get started.
    
    
    ndtv: version 0.10.0, created on 2016-5-6
    Copyright (c) 2016, Skye Bender-deMoll, University of Washington
     with contributions from
     Martina Morris, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("ndtv").
    
    No slice.par found, using
    Calculating layout for network slice from time 1 to 2
    Calculating layout for network slice from time 2 to 3
    Calculating layout for network slice from time 3 to 4
    Calculating layout for network slice from time 4 to 5
    Calculating layout for network slice from time 5 to 6
    Calculating layout for network slice from time 6 to 7
    Calculating layout for network slice from time 7 to 8
    Calculating layout for network slice from time 8 to 9
    Calculating layout for network slice from time 9 to 10
    Calculating layout for network slice from time 10 to 11
    Calculating layout for network slice from time 11 to 12
    Calculating layout for network slice from time 12 to 13
    rendering 10 frames for slice 0
    rendering 10 frames for slice 1
    rendering 10 frames for slice 2
    rendering 10 frames for slice 3
    rendering 10 frames for slice 4
    rendering 10 frames for slice 5
    rendering 10 frames for slice 6
    rendering 10 frames for slice 7
    rendering 10 frames for slice 8
    rendering 10 frames for slice 9
    rendering 10 frames for slice 10
    rendering 10 frames for slice 11
    Loading required package: tergm
    Loading required package: ergm
    
    ergm: version 3.8.0, created on 2017-08-18
    Copyright (c) 2017, Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Carter T. Butts, University of California -- Irvine
     Steven M. Goodreau, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Martina Morris, University of Washington
     with contributions from
     Li Wang
     Kirk Li, University of Washington
     Skye Bender-deMoll, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("ergm").
    
    NOTE: Versions before 3.6.1 had a bug in the
    implementation of the bd() constriant which distorted
    the sampled distribution somewhat. In addition,
    Sampson's Monks datasets had mislabeled vertices. See
    the NEWS and the documentation for more details.
    
    
    tergm: version 3.4.1, created on 2017-09-12
    Copyright (c) 2017, Pavel N. Krivitsky, University of Wollongong
     Mark S. Handcock, University of California -- Los Angeles
     with contributions from
     David R. Hunter, Penn State University
     Steven M. Goodreau, University of Washington
     Martina Morris, University of Washington
     Nicole Bohme Carnegie, New York University
     Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Skye Bender-deMoll
     Li Wang
     Kirk Li, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("tergm").
    
    Starting maximum likelihood estimation via MCMLE:
    Iteration 1 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.2893.
    Step length converged once. Increasing MCMC sample size.
    Iteration 2 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.01389.
    Step length converged twice. Stopping.
    This model was fit using MCMC. To examine model diagnostics and check for degeneracy, use the mcmc.diagnostics() function.
    
    Error: processing vignette ‘ndtv.Rnw’ failed with diagnostics:
     chunk 9 (label = mdsj_actual_download)
    Error in ndtv:::install.mdsj(mdsj.dir) :
     Unable to install MDSJ because the package path /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/ndtv/java/does not appear to have write permissions
    Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.10.0
Check: tests
Result: ERROR
     Running ‘compute.animation_tests.R’ [4s/5s]
     Running ‘d3_animation_tests.R’ [8s/10s]
     Running ‘effects_tests.R’ [11s/13s]
     Running ‘filmstrip_tests.R’ [6s/7s]
     Running ‘layout_tests.R’ [3s/4s]
     Running ‘networkAnimationTest.R’ [5s/6s]
     Running ‘proximity.timeline_test.R’ [4s/7s]
    Running the tests in ‘tests/proximity.timeline_test.R’ failed.
    Complete output:
     > # some tests tfor the proximity.timeline function
     > require(ndtv)
     Loading required package: ndtv
     Loading required package: network
     network: Classes for Relational Data
     Version 1.13.0 created on 2015-08-31.
     copyright (c) 2005, Carter T. Butts, University of California-Irvine
     Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Martina Morris, University of Washington
     Skye Bender-deMoll, University of Washington
     For citation information, type citation("network").
     Type help("network-package") to get started.
    
     Loading required package: networkDynamic
    
     networkDynamic: version 0.9.0, created on 2016-01-12
     Copyright (c) 2016, Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Skye Bender-deMoll, University of Washington
     with contributions from
     Zack Almquist, University of California -- Irvine
     David R. Hunter, Penn State University
     Li Wang
     Kirk Li, University of Washington
     Steven M. Goodreau, University of Washington
     Jeffrey Horner
     Martina Morris, University of Washington
     Based on "statnet" project software (statnet.org).
     For license and citation information see statnet.org/attribution
     or type citation("networkDynamic").
    
     Loading required package: animation
     Loading required package: sna
     Loading required package: statnet.common
    
     Attaching package: 'statnet.common'
    
     The following object is masked from 'package:base':
    
     order
    
     sna: Tools for Social Network Analysis
     Version 2.4 created on 2016-07-23.
     copyright (c) 2005, Carter T. Butts, University of California-Irvine
     For citation information, type citation("sna").
     Type help(package="sna") to get started.
    
    
     ndtv: version 0.10.0, created on 2016-5-6
     Copyright (c) 2016, Skye Bender-deMoll, University of Washington
     with contributions from
     Martina Morris, University of Washington
     Based on "statnet" project software (statnet.org).
     For license and citation information see statnet.org/attribution
     or type citation("ndtv").
    
     > require(testthat)
     Loading required package: testthat
     >
     > test<-network.initialize(10)
     > add.edges.active(test,head=1:9,tail=2:10,onset=0,terminus=10)
     > add.edges.active(test,head=1,tail=3,onset=1,terminus=2)
     > proximity.timeline(test)
     collapsing slice networks ...
     computing vertex positions using 1D isoMDS layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     rendering splines for each vertex ...
     >
     > data(McFarland_cls33_10_16_96)
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),vertex.cex=(cls33_10_16_96%v%'type'=='instructor')*4+1,labels.at=45)
     collapsing slice networks ...
     computing vertex positions using 1D isoMDS layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     >
     > # test algorithm types
     > # isoMDS is default, so already tested
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='sammon')
     collapsing slice networks ...
     computing vertex positions using 1D sammon layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='cmdscale')
     collapsing slice networks ...
     computing vertex positions using 1D cmdscale layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     > proximity.timeline(cls33_10_16_96,onsets=seq(0,45,5),termini=seq(2.5,47.5,5),mode='gvNeato')
     collapsing slice networks ...
     computing vertex positions using 1D gvNeato layout ...
     computing positions for slice 1
     computing positions for slice 2
     computing positions for slice 3
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     rendering splines for each vertex ...
     There were 18 warnings (use warnings() to see them)
     > # only check MDSJ if allready installed
     > has.mdsj<-ndtv:::check.mdsj(ask=FALSE)
     The MDSJ Java library does not appear to be installed. The ndtv package can use MDSJ to provide a fast accurate layout algorithm. It can be downloaded from http://algo.uni-konstanz.de/software/mdsj/
     Error in install.mdsj(mdsj.dir) :
     Unable to install MDSJ because the package path /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/ndtv/java/does not appear to have write permissions
     Calls: <Anonymous> -> install.mdsj
     Execution halted
Flavor: r-release-linux-x86_64

Version: 0.10.0
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    Loading required package: network
    network: Classes for Relational Data
    Version 1.13.0 created on 2015-08-31.
    copyright (c) 2005, Carter T. Butts, University of California-Irvine
     Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Martina Morris, University of Washington
     Skye Bender-deMoll, University of Washington
     For citation information, type citation("network").
     Type help("network-package") to get started.
    
    Loading required package: networkDynamic
    
    networkDynamic: version 0.9.0, created on 2016-01-12
    Copyright (c) 2016, Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Skye Bender-deMoll, University of Washington
     with contributions from
     Zack Almquist, University of California -- Irvine
     David R. Hunter, Penn State University
     Li Wang
     Kirk Li, University of Washington
     Steven M. Goodreau, University of Washington
     Jeffrey Horner
     Martina Morris, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("networkDynamic").
    
    Loading required package: animation
    Loading required package: sna
    Loading required package: statnet.common
    
    Attaching package: ‘statnet.common’
    
    The following object is masked from ‘package:base’:
    
     order
    
    sna: Tools for Social Network Analysis
    Version 2.4 created on 2016-07-23.
    copyright (c) 2005, Carter T. Butts, University of California-Irvine
     For citation information, type citation("sna").
     Type help(package="sna") to get started.
    
    
    ndtv: version 0.10.0, created on 2016-5-6
    Copyright (c) 2016, Skye Bender-deMoll, University of Washington
     with contributions from
     Martina Morris, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("ndtv").
    
    No slice.par found, using
    Calculating layout for network slice from time 1 to 2
    Calculating layout for network slice from time 2 to 3
    Calculating layout for network slice from time 3 to 4
    Calculating layout for network slice from time 4 to 5
    Calculating layout for network slice from time 5 to 6
    Calculating layout for network slice from time 6 to 7
    Calculating layout for network slice from time 7 to 8
    Calculating layout for network slice from time 8 to 9
    Calculating layout for network slice from time 9 to 10
    Calculating layout for network slice from time 10 to 11
    Calculating layout for network slice from time 11 to 12
    Calculating layout for network slice from time 12 to 13
    rendering 10 frames for slice 0
    rendering 10 frames for slice 1
    rendering 10 frames for slice 2
    rendering 10 frames for slice 3
    rendering 10 frames for slice 4
    rendering 10 frames for slice 5
    rendering 10 frames for slice 6
    rendering 10 frames for slice 7
    rendering 10 frames for slice 8
    rendering 10 frames for slice 9
    rendering 10 frames for slice 10
    rendering 10 frames for slice 11
    Loading required package: tergm
    Loading required package: ergm
    
    ergm: version 3.8.0, created on 2017-08-18
    Copyright (c) 2017, Mark S. Handcock, University of California -- Los Angeles
     David R. Hunter, Penn State University
     Carter T. Butts, University of California -- Irvine
     Steven M. Goodreau, University of Washington
     Pavel N. Krivitsky, University of Wollongong
     Martina Morris, University of Washington
     with contributions from
     Li Wang
     Kirk Li, University of Washington
     Skye Bender-deMoll, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("ergm").
    
    NOTE: Versions before 3.6.1 had a bug in the
    implementation of the bd() constriant which distorted
    the sampled distribution somewhat. In addition,
    Sampson's Monks datasets had mislabeled vertices. See
    the NEWS and the documentation for more details.
    
    
    tergm: version 3.4.1, created on 2017-09-12
    Copyright (c) 2017, Pavel N. Krivitsky, University of Wollongong
     Mark S. Handcock, University of California -- Los Angeles
     with contributions from
     David R. Hunter, Penn State University
     Steven M. Goodreau, University of Washington
     Martina Morris, University of Washington
     Nicole Bohme Carnegie, New York University
     Carter T. Butts, University of California -- Irvine
     Ayn Leslie-Cook, University of Washington
     Skye Bender-deMoll
     Li Wang
     Kirk Li, University of Washington
    Based on "statnet" project software (statnet.org).
    For license and citation information see statnet.org/attribution
    or type citation("tergm").
    
    Starting maximum likelihood estimation via MCMLE:
    Iteration 1 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.33.
    Step length converged once. Increasing MCMC sample size.
    Iteration 2 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.02066.
    Step length converged twice. Stopping.
    This model was fit using MCMC. To examine model diagnostics and check for degeneracy, use the mcmc.diagnostics() function.
    
    Error: processing vignette ‘ndtv.Rnw’ failed with diagnostics:
     chunk 9 (label = mdsj_actual_download)
    Error in ndtv:::install.mdsj(mdsj.dir) :
     Unable to install MDSJ because the package path /home/hornik/tmp/R.check/r-release-gcc/Work/build/Packages/ndtv/java/does not appear to have write permissions
    Execution halted
Flavor: r-release-linux-x86_64

Version: 0.10.0
Check: re-building of vignette outputs
Result: NOTE
    Error in re-building vignettes:
     ...
     computing positions for slice 4
     computing positions for slice 5
     computing positions for slice 6
     computing positions for slice 7
     computing positions for slice 8
     computing positions for slice 9
     computing positions for slice 10
     computing positions for slice 11
    rendering splines for each vertex ...
    Error in texi2dvi(file = file, pdf = TRUE, clean = clean, quiet = quiet, :
     Running 'texi2dvi' on 'ndtv.tex' failed.
    LaTeX errors:
    ! LaTeX Error: File `comment.sty' not found.
    
    Type X to quit or <RETURN> to proceed,
    or enter new name. (Default extension: sty)
    
    ! Emergency stop.
    <read *>
    
    l.6 \usepackage
     {color}^^M
    ! ==> Fatal error occurred, no output PDF file produced!
    Calls: buildVignettes -> texi2pdf -> texi2dvi
    Execution halted
Flavor: r-release-osx-x86_64