Package index
Top-level fitting functions
Main functions for estimating and sampling from an SBM with missing data
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estimateMissSBM() - Estimation of simple SBMs with missing data
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observeNetwork() - Observe a network partially according to a given sampling design
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missSBM_param() - Control of a missSBM fit
Main classes of objects
Description of objects missSBM_fit and missSBM_collection. The class missSBM_fit is the more central class of object, embedding fits for both the SBM and the sampling model. The class missSBM_collection defines objects for storing a collection of missSBM_fit, resulting from the the top-level function estimateMissSBM().
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missSBM_fit - An R6 class to represent an SBM fit with missing data
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coef(<missSBM_fit>) - Extract model coefficients
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fitted(<missSBM_fit>) - Extract model fitted values from object
missSBM_fit, return byestimateMissSBM() -
predict(<missSBM_fit>) - Prediction of a
missSBM_fit(i.e. network with imputed missing dyads) -
plot(<missSBM_fit>) - Visualization for an object
missSBM_fit -
missSBM_collection - An R6 class to represent a collection of SBM fits with missing data
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war - War data set
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frenchblog2007 - Political Blogosphere network prior to 2007 French presidential election
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er_network - ER ego centered network