1d:T79e,# Estimate between-block parameters Function to estimate the between-block model by relying on the maximum likelihood estimator. ```r est_between( formula, network, add_intercepts = TRUE, clustering_with_features = FALSE ) ``` ## Arguments - `formula`: An `formula` object of the form `y ~ `, where `y` is a `network` object. The network object must contain block information as a vertex attribute with the name 'block'. For the details on the possible ``, see `ergmTerm` and Morris, Handcock and Hunter (2008). All terms that induce dependence are excluded from the between block model. - `network`: a network object with one vertex attribute called 'block' representing which node belongs to which block - `add_intercepts`: Boolean value to indicate whether adequate intercepts should be added to the provided formula so that the model in the first stage of the estimation is a nested model of the estimated model in the second stage of the estimation - `clustering_with_features`: Boolean value to indicate if the clustering was carried out making use of the covariates or not (only important if `add_intercepts = TRUE`) ## Returns 'ergm' object of the estimated model. ## Examples ```r adj <- c( c(0, 1, 0, 0, 1, 0), c(1, 0, 1, 0, 0, 1), c(0, 1, 0, 1, 1, 0), c(0, 0, 1, 0, 1, 1), c(1, 0, 1, 1, 0, 1), c(0, 1, 0, 1, 1, 0) ) adj <- matrix(data = adj, nrow = 6, ncol = 6) rownames(adj) <- as.character(1001:1006) colnames(adj) <- as.character(1001:1006) # Use non-consecutive block names block <- c(50, 70, 95, 50, 95, 70) g <- network::network(adj, matrix.type = "adjacency") g %v% "block" <- block est <- est_between( formula = g ~ edges,network = g, add_intercepts = FALSE, clustering_with_features = FALSE ) ``` ## References Morris M, Handcock MS, Hunter DR (2008). Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects. Journal of Statistical Software, 24.

est_between function