* using log directory 'd:/RCompile/CRANincoming/R-devel/graphClust.Rcheck'
* using R Under development (unstable) (2023-07-16 r84696 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 12.2.0
    GNU Fortran (GCC) 12.2.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'graphClust/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'graphClust' version '1.0.1'
* package encoding: UTF-8
* checking CRAN incoming feasibility ... ERROR
Maintainer: 'Fritz Bayer <frbayer@ethz.ch>'

New submission

Conflicting package names (submitted: graphClust, existing: graphclust [https://CRAN.R-project.org])

Conflicting package names (submitted: graphClust, existing: graphclust [CRAN archive])

Possibly misspelled words in DESCRIPTION:
  covariate (7:92)
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'graphClust' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking for future file timestamps ... OK
* checking 'build' directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [17s] OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd line widths ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking installed files from 'inst/doc' ... OK
* checking files in 'vignettes' ... OK
* checking examples ... NONE
* checking for unstated dependencies in 'tests' ... OK
* checking tests ... [10s] ERROR
  Running 'testthat.R'
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/tests.html
  > # * https://testthat.r-lib.org/reference/test_package.html#special-files
  > 
  > library(testthat)
  > library(graphClust)
  > 
  > test_check("graphClust")
  [1] "Seed 2 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356525278"
  [1] "AIC is 847.090713050557"
  [1] "BIC is 880.957925468402"
  [1] "Seed 3 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356494219"
  [1] "AIC is 847.090712988438"
  [1] "BIC is 880.957925406283"
  [1] "Seed 4 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -409.763005098207"
  [1] "AIC is 845.526010196415"
  [1] "BIC is 879.39322261426"
  [1] "Seed 5 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356510054"
  [1] "AIC is 847.090713020107"
  [1] "BIC is 880.957925437952"
  [1] "Seed 6 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356443134"
  [1] "AIC is 847.090712886268"
  [1] "BIC is 880.957925304113"
  [1] "Seed 7 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356382853"
  [1] "AIC is 847.090712765705"
  [1] "BIC is 880.95792518355"
  [1] "Seed 8 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356538846"
  [1] "AIC is 847.090713077692"
  [1] "BIC is 880.957925495537"
  [1] "Seed 9 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -409.76300494494"
  [1] "AIC is 845.52600988988"
  [1] "BIC is 879.393222307725"
  [1] "Seed 10 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356455064"
  [1] "AIC is 847.090712910129"
  [1] "BIC is 880.957925327974"
  [1] "Seed 11 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356424536"
  [1] "AIC is 847.090712849072"
  [1] "BIC is 880.957925266917"
  [1] "EM seed 1"
  [1] "Seed 2 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356522334"
  [1] "AIC is 847.090713044669"
  [1] "BIC is 880.957925462514"
  [1] "Seed 3 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -409.763004975549"
  [1] "AIC is 845.526009951099"
  [1] "BIC is 879.393222368944"
  [1] "Seed 4 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356756366"
  [1] "AIC is 847.090713512732"
  [1] "BIC is 880.957925930577"
  [1] "Seed 5 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356604747"
  [1] "AIC is 847.090713209494"
  [1] "BIC is 880.957925627339"
  [1] "Seed 6 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356450708"
  [1] "AIC is 847.090712901416"
  [1] "BIC is 880.957925319261"
  [1] "Seed 7 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356577825"
  [1] "AIC is 847.09071315565"
  [1] "BIC is 880.957925573495"
  [1] "Seed 8 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356581226"
  [1] "AIC is 847.090713162452"
  [1] "BIC is 880.957925580297"
  [1] "Seed 9 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356557019"
  [1] "AIC is 847.090713114039"
  [1] "BIC is 880.957925531884"
  [1] "Seed 10 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -409.763004876318"
  [1] "AIC is 845.526009752637"
  [1] "BIC is 879.393222170482"
  [1] "Seed 11 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -409.7630049636"
  [1] "AIC is 845.5260099272"
  [1] "BIC is 879.393222345045"
  [1] "EM seed 1"
  [1] "Seed 2 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356580173"
  [1] "AIC is 847.090713160345"
  [1] "BIC is 880.957925578191"
  [1] "Seed 3 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -409.763005093852"
  [1] "AIC is 845.526010187704"
  [1] "BIC is 879.393222605549"
  [1] "Seed 4 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -409.763004940668"
  [1] "AIC is 845.526009881336"
  [1] "BIC is 879.393222299182"
  [1] "Seed 5 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356657809"
  [1] "AIC is 847.090713315618"
  [1] "BIC is 880.957925733463"
  [1] "Seed 6 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356720835"
  [1] "AIC is 847.09071344167"
  [1] "BIC is 880.957925859515"
  [1] "Seed 7 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -409.763005047104"
  [1] "AIC is 845.526010094208"
  [1] "BIC is 879.393222512054"
  [1] "Seed 8 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356348921"
  [1] "AIC is 847.090712697842"
  [1] "BIC is 880.957925115687"
  [1] "Seed 9 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -409.76300497623"
  [1] "AIC is 845.52600995246"
  [1] "BIC is 879.393222370305"
  [1] "Seed 10 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356638981"
  [1] "AIC is 847.090713277962"
  [1] "BIC is 880.957925695807"
  [1] "Seed 11 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356526478"
  [1] "AIC is 847.090713052957"
  [1] "BIC is 880.957925470802"
  [1] "EM seed 1"
  [1] "Seed 2 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -409.76300501604"
  [1] "AIC is 845.526010032081"
  [1] "BIC is 879.393222449926"
  [1] "Seed 3 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356719263"
  [1] "AIC is 847.090713438526"
  [1] "BIC is 880.957925856372"
  [1] "Seed 4 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.54535655448"
  [1] "AIC is 847.09071310896"
  [1] "BIC is 880.957925526806"
  [1] "Seed 5 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.5382414303"
  [1] "AIC is 847.0764828606"
  [1] "BIC is 880.943695278446"
  [1] "Seed 6 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356424077"
  [1] "AIC is 847.090712848153"
  [1] "BIC is 880.957925265998"
  [1] "Seed 7 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356670959"
  [1] "AIC is 847.090713341918"
  [1] "BIC is 880.957925759763"
  [1] "Seed 8 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356672486"
  [1] "AIC is 847.090713344972"
  [1] "BIC is 880.957925762817"
  [1] "Seed 9 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356377703"
  [1] "AIC is 847.090712755405"
  [1] "BIC is 880.95792517325"
  [1] "Seed 10 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356513335"
  [1] "AIC is 847.090713026669"
  [1] "BIC is 880.957925444514"
  [1] "Seed 11 with 2 clusters and 0.5 pseudocounts"
  [1] "Log likelihood is -410.545356400635"
  [1] "AIC is 847.090712801269"
  [1] "BIC is 880.957925219114"
  [1] "EM seed 1"
  [ FAIL 4 | WARN 0 | SKIP 0 | PASS 2 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-get_clusters.R:9:3'): get_clusters returns a list with the expected elements ──
  Error in `parallel::mclapply(1:k_clust, function(k) {
      if (n_bg > 0) {
          scorepar <- BiDAG::scoreparameters(score_type, as.data.frame(myData), 
              edgepmat = edgepmat, weightvector = allrelativeprobabs[, 
                  k], bdepar = bdepar, bgnodes = (n + 1):(n + n_bg))
      }
      else {
          scorepar <- BiDAG::scoreparameters(score_type, as.data.frame(myData), 
              edgepmat = edgepmat, weightvector = allrelativeprobabs[, 
                  k], bdepar = bdepar)
      }
      maxfit <- BiDAG::iterativeMCMC(scorepar, addspace = clustercenters[[k]], 
          verbose = FALSE, blacklist = blacklist)
      clustercenters[[k]] <- maxfit$DAG
      return(clustercenters[[k]])
  }, mc.cores = k_clust)`: 'mc.cores' > 1 is not supported on Windows
  Backtrace:
      ▆
   1. └─graphClust::get_clusters(myData, k_clust = 2) at test-get_clusters.R:9:2
   2.   └─parallel::mclapply(...)
  ── Error ('test-get_clusters.R:19:3'): get_clusters returns a list with the expected elements ──
  Error in `parallel::mclapply(1:k_clust, function(k) {
      if (n_bg > 0) {
          scorepar <- BiDAG::scoreparameters(score_type, as.data.frame(myData), 
              edgepmat = edgepmat, weightvector = allrelativeprobabs[, 
                  k], bdepar = bdepar, bgnodes = (n + 1):(n + n_bg))
      }
      else {
          scorepar <- BiDAG::scoreparameters(score_type, as.data.frame(myData), 
              edgepmat = edgepmat, weightvector = allrelativeprobabs[, 
                  k], bdepar = bdepar)
      }
      maxfit <- BiDAG::iterativeMCMC(scorepar, addspace = clustercenters[[k]], 
          verbose = FALSE, blacklist = blacklist)
      clustercenters[[k]] <- maxfit$DAG
      return(clustercenters[[k]])
  }, mc.cores = k_clust)`: 'mc.cores' > 1 is not supported on Windows
  Backtrace:
      ▆
   1. └─graphClust::get_clusters(myData, k_clust = 2, EMseeds = 1) at test-get_clusters.R:19:2
   2.   └─parallel::mclapply(...)
  ── Error ('test-get_clusters.R:30:3'): get_clusters returns objects with the expected dimensions ──
  Error in `parallel::mclapply(1:k_clust, function(k) {
      if (n_bg > 0) {
          scorepar <- BiDAG::scoreparameters(score_type, as.data.frame(myData), 
              edgepmat = edgepmat, weightvector = allrelativeprobabs[, 
                  k], bdepar = bdepar, bgnodes = (n + 1):(n + n_bg))
      }
      else {
          scorepar <- BiDAG::scoreparameters(score_type, as.data.frame(myData), 
              edgepmat = edgepmat, weightvector = allrelativeprobabs[, 
                  k], bdepar = bdepar)
      }
      maxfit <- BiDAG::iterativeMCMC(scorepar, addspace = clustercenters[[k]], 
          verbose = FALSE, blacklist = blacklist)
      clustercenters[[k]] <- maxfit$DAG
      return(clustercenters[[k]])
  }, mc.cores = k_clust)`: 'mc.cores' > 1 is not supported on Windows
  Backtrace:
      ▆
   1. └─graphClust::get_clusters(myData, k_clust = 2) at test-get_clusters.R:30:2
   2.   └─parallel::mclapply(...)
  ── Error ('test-get_clusters.R:38:3'): get_clusters returns objects with the expected dimensions ──
  Error in `parallel::mclapply(1:k_clust, function(k) {
      if (n_bg > 0) {
          scorepar <- BiDAG::scoreparameters(score_type, as.data.frame(myData), 
              edgepmat = edgepmat, weightvector = allrelativeprobabs[, 
                  k], bdepar = bdepar, bgnodes = (n + 1):(n + n_bg))
      }
      else {
          scorepar <- BiDAG::scoreparameters(score_type, as.data.frame(myData), 
              edgepmat = edgepmat, weightvector = allrelativeprobabs[, 
                  k], bdepar = bdepar)
      }
      maxfit <- BiDAG::iterativeMCMC(scorepar, addspace = clustercenters[[k]], 
          verbose = FALSE, blacklist = blacklist)
      clustercenters[[k]] <- maxfit$DAG
      return(clustercenters[[k]])
  }, mc.cores = k_clust)`: 'mc.cores' > 1 is not supported on Windows
  Backtrace:
      ▆
   1. └─graphClust::get_clusters(myData, k_clust = 2, EMseeds = 1) at test-get_clusters.R:38:2
   2.   └─parallel::mclapply(...)
  
  [ FAIL 4 | WARN 0 | SKIP 0 | PASS 2 ]
  Error: Test failures
  Execution halted
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in 'inst/doc' ... OK
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... [14s] OK
* checking HTML version of manual ... OK
* DONE
Status: 2 ERRORs