| a_db_alumni | Dataset from Battaglini, Patacchini (2018) |
| a_G_alumni_111 | Column-normalized adjacency matrix representing the alumni network of the 111th U.S. Congress. |
| boot | boot: Bootstrap residuals with cross-sectional dependence |
| boot.econet | boot: Bootstrap residuals with cross-sectional dependence |
| db_alumni_test | Dataset from Battaglini, Patacchini (2018) |
| db_cosponsor | Dataset from Battaglini, Leone Sciabolazza, Patacchini (2018) |
| G_alumni_111 | Column-normalized adjacency matrix representing the alumni network of the 111th U.S. Congress. |
| G_cosponsor_111 | Column-normalized adjacency matrix representing the cosponsorship network of the 111th U.S. Congress. |
| G_model_A_test | Column-normalized adjacency matrix representing a subsample of the alumni network of the 111th U.S. Congress. |
| horse_race | Compare the explanatory power of parameter.dependent network centrality measures with those of standard measures of network centrality. |
| net_dep | Implement a number of modifications to the linear-in-means model to obtain different weighted versions of Katz-Bonacich centrality. |
| quantify | quantify: quantification of marginal effects in linear-in-means models. |
| quantify.econet | quantify: quantification of marginal effects in linear-in-means models. |