Last updated on 2024-02-12 08:05:24 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 2.1.6 | 8.71 | 236.74 | 245.45 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 2.1.6 | 5.22 | 171.27 | 176.49 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 2.1.6 | 283.07 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 2.1.6 | 296.60 | ERROR | |||
| r-devel-windows-x86_64 | 2.1.6 | 8.00 | 174.00 | 182.00 | ERROR | |
| r-patched-linux-x86_64 | 2.1.6 | 7.75 | 229.55 | 237.30 | ERROR | |
| r-release-linux-x86_64 | 2.1.6 | 4.89 | 227.70 | 232.59 | ERROR | |
| r-release-macos-arm64 | 2.1.6 | 128.00 | OK | |||
| r-release-macos-x86_64 | 2.1.6 | 200.00 | OK | |||
| r-release-windows-x86_64 | 2.1.6 | 11.00 | 226.00 | 237.00 | ERROR | |
| r-oldrel-macos-arm64 | 2.1.6 | 76.00 | NOTE | |||
| r-oldrel-windows-x86_64 | 2.1.6 | 11.00 | 224.00 | 235.00 | ERROR |
Version: 2.1.6
Check: examples
Result: ERROR
Running examples in ‘netcom-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: best_fit_optim
> ### Title: Empirical parameterization
> ### Aliases: best_fit_optim
>
> ### ** Examples
>
> # Import netcom
> library(netcom)
>
> # Adjacency matrix
> size <- 10
> network <- matrix(sample(c(0,1), size = size^2, replace = TRUE), nrow = size, ncol = size)
>
> # Calculate how similar the input network is to Small-World networks with
> # a rewiring probability of 0.28.
> best_fit_optim(
+ parameter = 0.28,
+ process = "SW",
+ network = network,
+ net_size = 12,
+ net_kind = "matrix",
+ mechanism_kind = "grow",
+ resolution = 100,
+ resolution_min = 0.01,
+ resolution_max = 0.99,
+ reps = 3,
+ power_max = 5,
+ connectance_max = 0.5,
+ divergence_max = 0.5,
+ mutation_max = 0.5,
+ cores = 1,
+ directed = TRUE,
+ method = "DD",
+ cause_orientation = "row",
+ DD_kind = c(
+ "in", "out", "entropy_in", "entropy_out",
+ "clustering_coefficient", "page_rank", "communities"
+ ),
+ DD_weight = 1,
+ max_norm = FALSE,
+ verbose = FALSE
+ )
Error in igraph::transitivity(igraph_graph, type = "weighted") :
At vendor/cigraph/src/properties/triangles.c:886 : Barrat's weighted transitivity measure works only if the graph has no multi-edges. Invalid value
Calls: best_fit_optim -> compare_Target -> <Anonymous>
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 2.1.6
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
...
--- re-building ‘tutorial.Rmd’ using rmarkdown
Quitting from lines 200-215 [Classify networks] (tutorial.Rmd)
Error: processing vignette 'tutorial.Rmd' failed with diagnostics:
At vendor/cigraph/src/properties/triangles.c:886 : Barrat's weighted transitivity measure works only if the graph has no multi-edges. Invalid value
--- failed re-building ‘tutorial.Rmd’
SUMMARY: processing the following file failed:
‘tutorial.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 2.1.6
Check: examples
Result: ERROR
Running examples in ‘netcom-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: best_fit_optim
> ### Title: Empirical parameterization
> ### Aliases: best_fit_optim
>
> ### ** Examples
>
> # Import netcom
> library(netcom)
>
> # Adjacency matrix
> size <- 10
> network <- matrix(sample(c(0,1), size = size^2, replace = TRUE), nrow = size, ncol = size)
>
> # Calculate how similar the input network is to Small-World networks with
> # a rewiring probability of 0.28.
> best_fit_optim(
+ parameter = 0.28,
+ process = "SW",
+ network = network,
+ net_size = 12,
+ net_kind = "matrix",
+ mechanism_kind = "grow",
+ resolution = 100,
+ resolution_min = 0.01,
+ resolution_max = 0.99,
+ reps = 3,
+ power_max = 5,
+ connectance_max = 0.5,
+ divergence_max = 0.5,
+ mutation_max = 0.5,
+ cores = 1,
+ directed = TRUE,
+ method = "DD",
+ cause_orientation = "row",
+ DD_kind = c(
+ "in", "out", "entropy_in", "entropy_out",
+ "clustering_coefficient", "page_rank", "communities"
+ ),
+ DD_weight = 1,
+ max_norm = FALSE,
+ verbose = FALSE
+ )
Error in igraph::transitivity(igraph_graph, type = "weighted") :
At vendor/cigraph/src/properties/triangles.c:885 : Barrat's weighted transitivity measure works only if the graph has no multi-edges. Invalid value
Calls: best_fit_optim -> compare_Target -> <Anonymous>
Execution halted
Flavors: r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64
Version: 2.1.6
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
...
--- re-building ‘tutorial.Rmd’ using rmarkdown
Quitting from lines 200-215 [Classify networks] (tutorial.Rmd)
Error: processing vignette 'tutorial.Rmd' failed with diagnostics:
At vendor/cigraph/src/properties/triangles.c:885 : Barrat's weighted transitivity measure works only if the graph has no multi-edges. Invalid value
--- failed re-building ‘tutorial.Rmd’
SUMMARY: processing the following file failed:
‘tutorial.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavors: r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64
Version: 2.1.6
Check: dependencies in R code
Result: NOTE
Namespaces in Imports field not imported from:
‘ggfortify’ ‘ggplot2’ ‘ggraph’ ‘reshape2’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-oldrel-macos-arm64
Version: 2.1.6
Check: examples
Result: ERROR
Running examples in ‘netcom-Ex.R’ failed
The error most likely occurred in:
> ### Name: best_fit_optim
> ### Title: Empirical parameterization
> ### Aliases: best_fit_optim
>
> ### ** Examples
>
> # Import netcom
> library(netcom)
>
> # Adjacency matrix
> size <- 10
> network <- matrix(sample(c(0,1), size = size^2, replace = TRUE), nrow = size, ncol = size)
>
> # Calculate how similar the input network is to Small-World networks with
> # a rewiring probability of 0.28.
> best_fit_optim(
+ parameter = 0.28,
+ process = "SW",
+ network = network,
+ net_size = 12,
+ net_kind = "matrix",
+ mechanism_kind = "grow",
+ resolution = 100,
+ resolution_min = 0.01,
+ resolution_max = 0.99,
+ reps = 3,
+ power_max = 5,
+ connectance_max = 0.5,
+ divergence_max = 0.5,
+ mutation_max = 0.5,
+ cores = 1,
+ directed = TRUE,
+ method = "DD",
+ cause_orientation = "row",
+ DD_kind = c(
+ "in", "out", "entropy_in", "entropy_out",
+ "clustering_coefficient", "page_rank", "communities"
+ ),
+ DD_weight = 1,
+ max_norm = FALSE,
+ verbose = FALSE
+ )
Error in igraph::transitivity(igraph_graph, type = "weighted") :
At vendor/cigraph/src/properties/triangles.c:886 : Barrat's weighted transitivity measure works only if the graph has no multi-edges. Invalid value
Calls: best_fit_optim -> compare_Target -> <Anonymous>
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 2.1.6
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘tutorial.Rmd’ using rmarkdown
Quitting from lines 200-215 [Classify networks] (tutorial.Rmd)
Error: processing vignette 'tutorial.Rmd' failed with diagnostics:
At vendor/cigraph/src/properties/triangles.c:886 : Barrat's weighted transitivity measure works only if the graph has no multi-edges. Invalid value
--- failed re-building ‘tutorial.Rmd’
SUMMARY: processing the following file failed:
‘tutorial.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 2.1.6
Check: examples
Result: ERROR
Running examples in ‘netcom-Ex.R’ failed
The error most likely occurred in:
> ### Name: best_fit_optim
> ### Title: Empirical parameterization
> ### Aliases: best_fit_optim
>
> ### ** Examples
>
> # Import netcom
> library(netcom)
>
> # Adjacency matrix
> size <- 10
> network <- matrix(sample(c(0,1), size = size^2, replace = TRUE), nrow = size, ncol = size)
>
> # Calculate how similar the input network is to Small-World networks with
> # a rewiring probability of 0.28.
> best_fit_optim(
+ parameter = 0.28,
+ process = "SW",
+ network = network,
+ net_size = 12,
+ net_kind = "matrix",
+ mechanism_kind = "grow",
+ resolution = 100,
+ resolution_min = 0.01,
+ resolution_max = 0.99,
+ reps = 3,
+ power_max = 5,
+ connectance_max = 0.5,
+ divergence_max = 0.5,
+ mutation_max = 0.5,
+ cores = 1,
+ directed = TRUE,
+ method = "DD",
+ cause_orientation = "row",
+ DD_kind = c(
+ "in", "out", "entropy_in", "entropy_out",
+ "clustering_coefficient", "page_rank", "communities"
+ ),
+ DD_weight = 1,
+ max_norm = FALSE,
+ verbose = FALSE
+ )
Error in igraph::transitivity(igraph_graph, type = "weighted") :
At vendor/cigraph/src/properties/triangles.c:885 : Barrat's weighted transitivity measure works only if the graph has no multi-edges. Invalid value
Calls: best_fit_optim -> compare_Target -> <Anonymous>
Execution halted
Flavors: r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 2.1.6
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘tutorial.Rmd’ using rmarkdown
Quitting from lines 200-215 [Classify networks] (tutorial.Rmd)
Error: processing vignette 'tutorial.Rmd' failed with diagnostics:
At vendor/cigraph/src/properties/triangles.c:885 : Barrat's weighted transitivity measure works only if the graph has no multi-edges. Invalid value
--- failed re-building ‘tutorial.Rmd’
SUMMARY: processing the following file failed:
‘tutorial.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavors: r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64