R Under development (unstable) (2025-03-12 r87950 ucrt) -- "Unsuffered Consequences"
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> 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 
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 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
double-standard
block-node new better on mixture

 Adjusting Variational EM for Stochastic Block Model
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 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 
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 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 1 | SKIP 0 | PASS 403 ]

[ FAIL 0 | WARN 1 | SKIP 0 | PASS 403 ]
> 
> proc.time()
   user  system elapsed 
  84.93    4.12   89.07