Running ‘spelling.R’ [0s/1s]
  Running ‘testthat.R’ [22m/31m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(missSBM)
  > 
  > test_check("missSBM")
  
   Adjusting Variational EM for Stochastic Block Model
  
  	Dyads are distributed according to a 'undirected' SBM.
  
  	Imputation assumes a 'covar-dyad' network-sampling process
   iteration #: 2 
   iteration #: 3 
  
   Adjusting Variational EM for Stochastic Block Model
  
  	Dyads are distributed according to a 'undirected' SBM.
  
  	Imputation assumes a 'dyad' network-sampling process
   iteration #: 2 
   iteration #: 3 
  
   Adjusting Variational EM for Stochastic Block Model
  
  	Dyads are distributed according to a 'undirected' SBM.
  
  	Imputation assumes a 'covar-node' network-sampling process
   iteration #: 2 
   iteration #: 3 
   iteration #: 4 
  
   Adjusting Variational EM for Stochastic Block Model
  
  	Dyads are distributed according to a 'undirected' SBM.
  
  	Imputation assumes a 'node' network-sampling process
   iteration #: 2 
   iteration #: 3 
   iteration #: 4 
  Tested sampling:
   - dyad
   - node
   - double-standard
   - block-node
   - block-dyad
  
   Adjusting Variational EM for Stochastic Block Model
  
  	Imputation assumes a 'dyad' network-sampling process
  
   Initialization of 3 model(s). 
  Tested sampling:
   - dyad
   - node
   - double-standard
   - block-node
   - block-dyadTested sampling:
   - dyad
   - node
   - double-standard
   - block-node
   - block-dyad
  sampling: dyad new better on connectivity
  node
  double-standard
  block-node new better on mixture
  
   Adjusting Variational EM for Stochastic Block Model
   iteration #: 2 
   iteration #: 3 
   iteration #: 4 
   iteration #: 5 
   iteration #: 6 
   iteration #: 7 
   iteration #: 8 
   iteration #: 9 
   iteration #: 10 
   iteration #: 11 
   iteration #: 12 
   iteration #: 13 
   iteration #: 14 
   iteration #: 15 
   iteration #: 16 
   iteration #: 17 
   iteration #: 18 
   iteration #: 19 
   iteration #: 20 
   iteration #: 21 
   iteration #: 22 
   iteration #: 23 
   iteration #: 24 
   iteration #: 25 
   iteration #: 26 
   iteration #: 27 
   iteration #: 28 
  
   Adjusting Variational EM for Stochastic Block Model
  
  	Dyads are distributed according to a 'undirected' SBM.
  
  	Imputation assumes a 'node' network-sampling process
   iteration #: 2 
   iteration #: 3 
   iteration #: 4 
   iteration #: 5 
   iteration #: 6 
   iteration #: 7 
   iteration #: 8 
   iteration #: 9 
   iteration #: 10 
   iteration #: 11 
   iteration #: 12 
   iteration #: 13 
   iteration #: 14 
   iteration #: 15 
   iteration #: 16 
   iteration #: 17 
   iteration #: 18 
   iteration #: 19 
   iteration #: 20 
   iteration #: 21 
   iteration #: 22 
   iteration #: 23 
   iteration #: 24 
   iteration #: 25 
   iteration #: 26 
   iteration #: 27 
   iteration #: 28 
  
  
   Adjusting Variational EM for Stochastic Block Model
  
  	Imputation assumes a 'node' network-sampling process
  
   Initialization of 1 model(s). 
   Performing VEM inference
   	Model with 3 blocks.
  
  
  
  
  
  
  
  
  
  
  
  
  
  
   Adjusting Variational EM for Stochastic Block Model
   iteration #: 2 
   iteration #: 3 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  [ FAIL 0 | WARN 0 | SKIP 0 | PASS 400 ]
  > 
  > proc.time()
     user  system elapsed 
  154.162   5.725 166.108 
  Assertion failure at kmp_runtime.cpp(6918): temp_reg_status_file_name.
  OMP: Error #13: Assertion failure at kmp_runtime.cpp(6918).
  OMP: Hint Please submit a bug report with this message, compile and run commands used, and machine configuration info including native compiler and operating system versions. Faster response will be obtained by including all program sources. For information on submitting this issue, please see https://bugs.llvm.org/.
  Assertion failure at kmp_runtime.cpp(6918): temp_reg_status_file_name.
  OMP: Error #13: Assertion failure at kmp_runtime.cpp(6918).
  OMP: Hint Please submit a bug report with this message, compile and run commands used, and machine configuration info including native compiler and operating system versions. Faster response will be obtained by including all program sources. For information on submitting this issue, please see https://bugs.llvm.org/.
  Killed