Man pages for adzemski/netprobitFE
Network probit with fixed effects
| add_predict | add predicted values or residuals under FE projection |
| add_xtilde | add xtilde's by reference |
| add_ystar | Add latent index to dataset for given structural parameters. |
| center | Center a vector |
| compute_H | Compute H for ij link (definition see paper) |
| compute_J | Compute J (see paper for definition) |
| compute_omega | Compute omega for ij link (definition see paper) |
| compute_p | Compute linking probability p for ij link (definition see... |
| compute_p1 | Compute p(1 - p) for ij link (definition see paper) |
| compute_r | Compute probability of reciprocated link |
| compute_ystar | Compute ystar |
| copy_ij_value_to_ji | Make new variables that for entry i,j contains the j,i values... |
| copy_var_to_new_suffix | Copy variable, new name changes the suffix |
| define_model | Define a network model |
| define_sim_design_jochmans | Define a simulation design (Jochmans) |
| double_bootstrap | Double bootstrap procedure |
| double_bootstrap_inner | Fast computation of bootstrap bias |
| draw_bootstrap_sample | Draw from bootstrap distribution |
| draw_j18_dynamic_meeting | Sample from alternative with dynacmic behavior |
| draw_network_jochmans_2018 | Sample a random network following modified Jochmans design |
| excess_trans | compute observed excess transitivity |
| fast_excess_transitivity | Compute excess transitivity |
| identity | Return vector unchanged |
| long_to_wide | Reshape dyadic network data from long (ij, i != j) to wide... |
| MLE_stage1 | ML estimation of stage 1 |
| MLE_stage2 | ML estimation stage 2 |
| MLE_stage2_gradient | Stage 2: solve likelihood directly |
| MLE_stage2_mle | Stage 2: solve likelihood directly |
| netprobitFE | netprobitFE |
| num_in_triangles | Detect number of triangles that this link is a part of |
| num_pairs | compute number of (ordered) pairs from 1, ..., N |
| num_trans_closures | Detect number of transitive relationships closed by this link |
| partial_J_ystar1 | Compute derivative of J (see paper) wrt ystar1 |
| partial_p_ystar | Compute derivative of p (linking probability) wrt to ystar |
| partial_p_ystar_ystar | Compute 2nd order derivative of p (linking probability) wrt... |
| partial_r_rho | Compute derivative of r wrt rho (see paper for definition) |
| partial_r_ystar1 | Compute derivative of r wrt rho |
| partial_r_ystar1_rho | Compute 2nd order derivative of r wrt ystar1 and rho |
| partial_r_ystar1_ystar1 | Compute 2nd order derivative of r wrt ystar1 and ystar1 |
| partial_r_ystar1_ystar2 | Compute 2nd order derivative of r wrt ystar1 and ystar2 |
| read_link_data | use C++ class LinkVariable to establish link to R data frame |
| simulate_methods | Run simulations |
| triangles_biascorr_new_vars | add new link variables that are required for bias correction |
| triangle_test | Compute specification test based on transitive triangles |
| ttest_rho | Compute bias adjusted t-statistic for parameter rho |
| ttest_theta | Compute bias adjusted t-statistic for parameter theta |
| weighted_inner_prod | Compute a weighted inner product |
