degreeSampling_fit | R Documentation |
Class for fitting a degree sampling
Class for fitting a degree sampling
missSBM::networkSampling
-> missSBM::networkSamplingNodes_fit
-> degreeSampling_fit
vExpec
variational expectation of the sampling
new()
constructor
degreeSampling_fit$new(partlyObservedNetwork, blockInit, connectInit)
partlyObservedNetwork
a object with class partlyObservedNetwork representing the observed data with possibly missing entries
blockInit
n x Q matrix of initial block indicators
connectInit
Q x Q matrix of initial block probabilities of connection
update_parameters()
a method to update the estimation of the parameters. By default, nothing to do (corresponds to MAR sampling)
degreeSampling_fit$update_parameters(imputedNet, ...)
imputedNet
an adjacency matrix where missing values have been imputed
...
used for compatibility
update_imputation()
a method to update the imputation of the missing entries.
degreeSampling_fit$update_imputation(PI, ...)
PI
the matrix of inter/intra class probability of connection
...
use for compatibility
clone()
The objects of this class are cloneable with this method.
degreeSampling_fit$clone(deep = FALSE)
deep
Whether to make a deep clone.
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