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Models for scalar networks

One value per dyad. The adjacency matrix may contain missing values (NA).

BM_bernoulli(<new>)
Perform estimation on blockmodels for bernoulli probability distribution
BM_poisson(<new>)
Perform estimation on blockmodels for poisson probability distribution
BM_gaussian(<new>)
Perform estimation on blockmodels for gaussian probability distribution

Models for scalar networks with covariates on the edges

BM_bernoulli_covariates(<new>)
Perform estimation on blockmodels for bernoulli probability distribution aith covariates
BM_bernoulli_covariates_fast(<new>)
Perform estimation on blockmodels for bernoulli probability distribution aith covariates
BM_poisson_covariates(<new>)
Perform estimation on blockmodels for poisson probability distribution aith covariates
BM_gaussian_covariates(<new>)
Perform estimation on blockmodels for gaussian probability distribution with covariates

Models for multivariate networks

Several values per dyad (multiplex networks). Missing values are not supported.

BM_bernoulli_multiplex(<new>)
Perform estimation on blockmodels for multiplex binary networks
BM_gaussian_multivariate(<new>)
Perform estimation on blockmodels for multivariate gaussian probability distribution
BM_gaussian_multivariate_independent(<new>)
Perform estimation on blockmodels for multivariate independent homoscedastic gaussian probability distribution
BM_gaussian_multivariate_independent_homoscedastic(<new>)
Perform estimation on blockmodels for multivariate independent homoscedastic gaussian probability distribution