Last updated on 2025-07-25 05:49:58 CEST.
| Package | ERROR | OK |
|---|---|---|
| ndtv | 1 | 12 |
| networkDynamic | 13 | |
| networkDynamicData | 13 | |
| tsna | 13 |
Current CRAN status: ERROR: 1, OK: 12
Version: 0.13.4
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
...
--- re-building ‘ndtv.Rnw’ using Sweave
Loading required package: network
‘network’ 1.19.0 (2024-12-08), part of the Statnet Project
* ‘news(package="network")’ for changes since last version
* ‘citation("network")’ for citation information
* ‘https://statnet.org’ for help, support, and other information
Loading required package: networkDynamic
‘networkDynamic’ 0.11.5 (2024-11-21), part of the Statnet Project
* ‘news(package="networkDynamic")’ for changes since last version
* ‘citation("networkDynamic")’ for citation information
* ‘https://statnet.org’ for help, support, and other information
Loading required package: animation
Loading required package: sna
Loading required package: statnet.common
Attaching package: ‘statnet.common’
The following objects are masked from ‘package:base’:
attr, order, replace
sna: Tools for Social Network Analysis
Version 2.8 created on 2024-09-07.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
For citation information, type citation("sna").
Type help(package="sna") to get started.
‘ndtv’ 0.13.4 (2024-06-30), part of the Statnet Project
* ‘news(package="ndtv")’ for changes since last version
* ‘citation("ndtv")’ for citation information
* ‘https://statnet.org’ for help, support, and other information
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’ 4.9.0 (2025-06-09), part of the Statnet Project
* ‘news(package="ergm")’ for changes since last version
* ‘citation("ergm")’ for citation information
* ‘https://statnet.org’ for help, support, and other information
‘ergm’ 4 is a major update that introduces some
backwards-incompatible changes. Please type
‘news(package="ergm")’ for a list of major changes.
Attaching package: ‘ergm’
The following object is masked from ‘package:statnet.common’:
snctrl
‘tergm’ 4.2.2 (2025-06-15), part of the Statnet Project
* ‘news(package="tergm")’ for changes since last version
* ‘citation("tergm")’ for citation information
* ‘https://statnet.org’ for help, support, and other information
Attaching package: ‘tergm’
The following object is masked from ‘package:ergm’:
snctrl
The following object is masked from ‘package:statnet.common’:
snctrl
Warning in .Deprecate_once("tergm") : 'stergm' is deprecated.
See help("Deprecated")
Starting maximum pseudolikelihood estimation (MPLE):
Obtaining the responsible dyads.
Evaluating the predictor and response matrix.
Maximizing the pseudolikelihood.
Finished MPLE.
Starting Monte Carlo maximum likelihood estimation (MCMLE):
Iteration 1 of at most 60:
Warning: ‘glpk’ selected as the solver, but package ‘Rglpk’ is not available; falling back to ‘lpSolveAPI’. This should be fine unless the sample size and/or the number of parameters is very big.
1 Optimizing with step length 1.0000.
The log-likelihood improved by 0.0145.
Convergence test p-value: < 0.0001. Converged with 99% confidence.
Finished MCMLE.
This model was fit using MCMC. To examine model
diagnostics and check for degeneracy, use the
mcmc.diagnostics() function.
======== Phase 1: Burn in, get initial gradient values, and find a configuration under which all targets vary. ========
Burning in... Done.
Attempt 1 :
All parameters have some effect and all statistics are moving. Proceeding to Phase 2.
======== Phase 2: Find and refine the estimate. ========
Subphase 2.1 /////////////////\\\\\
Subphase 2.2 \\\\\
Subphase 2.3 \\\\\
Subphase 2.4 \\\\\
======== Phase 3: Simulate from the fit and estimate standard errors. ========
Subphase 2.5 \\\\\
======== Phase 3: Simulate from the fit and estimate standard errors. ========
Error: processing vignette 'ndtv.Rnw' failed with diagnostics:
chunk 7 (label = test_model)
Error in xTAx_eigen(x, A, tol = tol, ...) : x is not in the span of A
--- failed re-building ‘ndtv.Rnw’
SUMMARY: processing the following file failed:
‘ndtv.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13