| as.data.frame.dream_sequence | Coerce a 'dream_sequence' Object into a 'data.frame' Object |
| coef.dream_rem | Extract the ML parameter estimates from Relational Event Model Fits |
| create_res | Process One- and Two-Mode Relational Event Sequences and Create Post-Processing Relational Event Sequences |
| dreamstats_actor | Add Actor-Level Statistics for Event Dyads in a Relational Event Sequence |
| dreamstats_actorfe | Add Actor-Level Fixed Effects for Event Dyads in a Relational Event Sequence |
| dreamstats_degree | Compute Degree Network Statistics for Event Senders and Receivers in a Post-Processing Relational Event Sequence |
| dreamstats_dyadcut | A Helper Function to Assist Researchers in Finding Dyadic Weight Cutoff Values |
| dreamstats_dyadfe | Add Dyadic-Level Fixed Effects for Event Dyads in a Relational Event Sequence |
| dreamstats_dyadic | Add Dyadic-Level Statistics for Event Dyads in a Relational Event Sequence |
| dreamstats_event | Add Event-Level Statistics for a Relational Event Sequence |
| dreamstats_fourcycles | Compute the Four-Cycles Network Statistic for Event Dyads in a Relational Event Sequence |
| dreamstats_persistence | Compute Butts' (2008) Persistence Network Statistic for Event Dyads in a Relational Event Sequence |
| dreamstats_prefattachment | Compute Butts' (2008) Preferential Attachment Network Statistic for Event Dyads in a Relational Event Sequence |
| dreamstats_recency | Compute Butts' (2008) Recency Network Statistic for Event Dyads in a Relational Event Sequence |
| dreamstats_reciprocity | Compute the Reciprocity Network Statistic for Event Dyads in a Relational Event Sequence |
| dreamstats_repetition | Compute Butts' (2008) Repetition Network Statistic for Event Dyads in a Relational Event Sequence |
| dreamstats_triads | Compute Butts' (2008) Triadic Formation Statistics for Relational Event Sequences |
| dream_information | dream: A Package for Dynamic Relational Event Analysis and Modeling |
| dream_sequence | Helper Function to Create 'dream_sequence' Objects |
| estimate_rem | Fit a Maximum Likelihood Relational Event Model (REM) to A Processed Relational Event Sequence |
| logLik.dream_rem | Extract the model log-likelihood from Relational Event Model Fits |
| netstats_om_constraint | Compute Burt's (1992) Constraint for Ego Networks from a Sociomatrix |
| netstats_om_effective | Compute Burt's (1992) Effective Size for Ego Networks from a Sociomatrix |
| netstats_om_nwalks | Compute the Number of Walks of Length K in a One-Mode Network |
| netstats_om_pib | Compute Potential for Intercultural Brokerage (PIB) Based on Leal (2025) |
| netstats_tm_constraint | Compute Burchard and Cornwell's (2018) Two-Mode Constraint |
| netstats_tm_degreecent | Compute Degree Centrality Values for Two-Mode Networks |
| netstats_tm_density | Compute Level-Specific Graph Density for Two-Mode Networks |
| netstats_tm_effective | Compute Burchard and Cornwell's (2018) Two-Mode Effective Size |
| netstats_tm_egodistance | Compute Fujimoto, Snijders, and Valente's (2018) Ego Homophily Distance for Two-Mode Networks |
| netstats_tm_homfourcycles | Compute Fujimoto, Snijders, and Valente's (2018) Homophilous Four-Cycles for Two-Mode Networks |
| netstats_tm_redundancy | Compute Burchard and Cornwell's (2018) Two-Mode Redundancy |
| predict.dream_rem | Predict method for Relational Event Model Fits |
| print.dream_rem | Print Method for dreamrem Model |
| print.dream_sequence | Print Method for 'dream' object |
| print.summary.dream_rem | Print Method for dreamrem Model |
| print.summary.dream_sequence | Print Method for dream Model |
| simulate_rem_seq | Simulate a Random One-Mode Relational Event Sequence |
| southern.women | Davis Southern Women's Dataset |
| summary.dream_rem | Summary Method for dreamrem Objects |
| summary.dream_sequence | Summary Method for dream_sequence Objects |
| vcov.dream_rem | Extract variance-covariance matrix from Relational Event Model Fits |
| WikiEvent2018.first100k | Wikipedia Edit Event Sequence 2018 |