| as_dyadic_log | Build / detect / convert hyperedge event logs |
| as_hyperedge_log | Build / detect / convert hyperedge event logs |
| attach_static_covariates | Attach static covariates to an event log |
| classroom_actors | Classroom actor attributes (McFarland 2001) |
| classroom_events | Classroom interaction events (McFarland 2001) |
| college_msg | CollegeMsg: private messages on a university online community |
| compare_models | Compare candidate endogenous specifications by AIC |
| compare_models_global | Compare REM specifications with global covariate effects |
| compare_models_smooth | Compare candidate specifications with smooth (TV / NL / TVNL) effects |
| cpp_supported_stats | Endogenous statistics with a compiled fast path |
| dist_matrix | US state distance matrix |
| email_eu_core | Email-Eu-Core temporal (single-department subset) |
| endogenous_features | Compute endogenous event-network statistics |
| gof_auxiliary | GOF test for an auxiliary (unmodelled) statistic |
| gof_global | Omnibus GOF test via Cauchy combination |
| gof_multivariate | Multivariate GOF test for smooth or random-effect covariates |
| gof_univariate | Goodness-of-fit test for a single FLE covariate |
| hyperedge_activity | Activity counter for hyperedge subsets |
| hyperedge_features | Endogenous features for a hyperedge event log |
| hyperedge_log | Build / detect / convert hyperedge event logs |
| hyperedge_sizes | Cardinality columns for a hyperedge event log |
| hyperedge_subrep | Subset repetition statistic for a hyperedge event log |
| is_hyperedge_log | Build / detect / convert hyperedge event logs |
| martingale_residuals | Martingale residuals from a case-control partial-likelihood fit |
| nn_control | Control parameters for the neural-network backend of rem() |
| nn_uncertainty | Bootstrap uncertainty for the neural rem() backend |
| plot.nn_uncertainty | Plot partial-dependence uncertainty bands |
| radoslaw_email | Manufacturing-company email events (Michalski et al. 2014) |
| rem | Fit a relational (hyper)event model on preprocessed case-control data |
| sample_non_events | Sample non-events for inference |
| simulate_actor_covariates | Simulate exogenous actor covariates |
| simulate_directed_hyperedge_events | Simulate directed two-mode hyperedge events |
| simulate_directed_hyperevents_tvnl | Simulate directed hyper-events with time-varying and non-linear effects |
| simulate_hyperedge_events | Simulate undirected hyperedge events (multi-actor meetings) |
| simulate_relational_events | Simulate relational event sequences |
| social_evolution_actors | Actor attributes for the Social Evolution study |
| social_evolution_calls | Phone calls in the Social Evolution study (Madan et al. 2011) |
| social_evolution_friendship | Friendship-survey events for the Social Evolution study |
| standardize_event_log | Standardize a relational event log |
| transform_recency | Recency transform of inter-event time gaps |
| widen_case_control | Convert a long case-control event log to wide case-1-control format |