Running 'spelling.R' [0s]
  Running 'testthat.R' [142s]
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 
  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 3 | WARN 0 | SKIP 0 | PASS 400 ]
  
  == Failed tests ================================================================
  -- Failure (test-MISSSBM-fit-without-covariate.R:51:7): missSBM-fit works and is consistent for all samplings --
  error(...) is not strictly less than `tol_truth`. Difference: 0.00572
  -- Failure (test-MISSSBM-fit-without-covariate.R:51:7): missSBM-fit works and is consistent for all samplings --
  error(...) is not strictly less than `tol_truth`. Difference: 0.00571
  -- Failure (test-MISSSBM-fit-without-covariate.R:51:7): missSBM-fit works and is consistent for all samplings --
  error(...) is not strictly less than `tol_truth`. Difference: 0.00571
  
  [ FAIL 3 | WARN 0 | SKIP 0 | PASS 400 ]
  Error: Test failures
  Execution halted