Base internal class for adjusting a binary Stochastic Block Model in the context of missSBM.

It is not designed to be called directly by the user; see the concrete variants SimpleSBM_fit_noCov, SimpleSBM_fit_withCov and SimpleSBM_fit_MNAR.

Super classes

sbm::SBM -> sbm::SimpleSBM -> SimpleSBM_fit

Active bindings

type: the type of SBM (distribution of edges values, network type, presence of covariates)
penalty: double, value of the penalty term in ICL
entropy: double, value of the entropy due to the clustering distribution
loglik: double: approximation of the log-likelihood (variational lower bound) reached
ICL: double: value of the integrated classification log-likelihood

Methods

Inherited methods

`SimpleSBM_fit$new()`

constructor for simpleSBM_fit for missSBM purpose

Usage

SimpleSBM_fit$new(networkData, clusterInit, covarList = list())

Arguments

networkData: a structure to store network under missing data condition: either a matrix possibly with NA, or a missSBM:::partlyObservedNetwork
clusterInit: Initial clustering: a vector with size ncol(adjacencyMatrix), providing a user-defined clustering with nbBlocks levels.
covarList: An optional list with M entries (the M covariates).

`SimpleSBM_fit$doVEM()`

method to perform estimation via variational EM

Usage

SimpleSBM_fit$doVEM(
  threshold = 0.01,
  maxIter = 100,
  fixPointIter = 3,
  trace = FALSE
)

Arguments

threshold: stop when an optimization step changes the objective function by less than threshold. Default is 1e-4.
maxIter: V-EM algorithm stops when the number of iteration exceeds maxIter. Default is 10
fixPointIter: number of fix-point iterations in the Variational E step. Default is 5.
trace: logical for verbosity. Default is FALSE.

`SimpleSBM_fit$reorder()`

permute group labels by order of decreasing probability

Usage

SimpleSBM_fit$reorder()

`SimpleSBM_fit$get_state()`

a lightweight snapshot of the mutable VEM state (as opposed to clone(), which duplicates the whole object, including the – possibly large – network data)

Usage

SimpleSBM_fit$get_state()

`SimpleSBM_fit$set_state()`

restore a state previously returned by get_state()

Usage

SimpleSBM_fit$set_state(state)

Arguments

state: a state, as returned by get_state()

`SimpleSBM_fit$clone()`

The objects of this class are cloneable with this method.

Usage

SimpleSBM_fit$clone(deep = FALSE)

Arguments

deep: Whether to make a deep clone.