blockDyadSampling_fit | R Documentation |
Class for fitting a block-dyad sampling
Class for fitting a block-dyad sampling
missSBM::networkSampling
-> missSBM::networkSamplingDyads_fit
-> blockDyadSampling_fit
vExpec
variational expectation of the sampling
log_lambda
matrix, term for adjusting the imputation step which depends on the type of sampling
new()
constructor
blockDyadSampling_fit$new(partlyObservedNetwork, blockInit)
partlyObservedNetwork
a object with class partlyObservedNetwork representing the observed data with possibly missing entries
blockInit
n x Q matrix of initial block indicators
update_parameters()
a method to update the estimation of the parameters. By default, nothing to do (corresponds to MAR sampling)
blockDyadSampling_fit$update_parameters(nu, Z)
nu
the matrix of (uncorrected) imputation for missing entries
Z
probabilities of block memberships
clone()
The objects of this class are cloneable with this method.
blockDyadSampling_fit$clone(deep = FALSE)
deep
Whether to make a deep clone.
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