Running 'spelling.R' [0s]
  Running 'testthat.R' [172s]
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 
  
   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 new better on mixture new better on connectivity
  double-standard new better on mixture
  block-node
  
   Adjusting Variational EM for Stochastic Block Model
   iteration #: 2 
  
   Adjusting Variational EM for Stochastic Block Model
  
  	Dyads are distributed according to a 'undirected' SBM.
  
  	Imputation assumes a 'node' network-sampling process
   iteration #: 2 
  
  
   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 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  == Failed tests ================================================================
  -- Failure (test-SAMPLING-fit-with-covariates.R:58:3): Parameter estimation in node-centered sampling with covariates --
  error(fittedSampling$parameters, c(intercept, covarParam)) is not strictly less than `tolerance`. Difference: 0.0514
  
  [ FAIL 1 | WARN 1 | SKIP 0 | PASS 437 ]
  Error: Test failures
  Execution halted