This internal class is designed to adjust a binary Stochastic Block Model in the context of missSBM.
This internal class is designed to adjust a binary Stochastic Block Model in the context of missSBM.
This internal class is designed to adjust a binary Stochastic Block Model in the context of missSBM.
It is not designed not be call by the user
sbm::SBM
-> sbm::SimpleSBM
-> missSBM::SimpleSBM_fit
-> SimpleSBM_fit_withCov
imputation
: the matrix of imputed values
vExpec
: double: variational approximation of the expectation complete log-likelihood
vExpec_corrected
: double: variational approximation of the expectation complete log-likelihood with correction to be comparable with MNAR criteria
update_parameters()
update parameters estimation (M-step)
SimpleSBM_fit_withCov$update_parameters(...)
...
: use for compatibility
control
: a list to tune nlopt for optimization, see documentation of nloptr
update_blocks()
update variational estimation of blocks (VE-step)
SimpleSBM_fit_withCov$update_blocks(...)
...
: use for compatibility
clone()
The objects of this class are cloneable with this method.
SimpleSBM_fit_withCov$clone(deep = FALSE)
deep
: Whether to make a deep clone.