R: Dynamic Relational Event Analysis and Modeling

# Dynamic Relational Event Analysis and Modeling

## Documentation for package ‘dream’ version 2.1.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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
gof_rem | Estimate the proportion of dyads predicted by 'dream_rem' relational event model fits
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
plot.dream_rem | Plot method for 'dream_rem' Relational Event Model Fits
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
residuals.dream_rem | Model residuals for 'dream_rem' relational event model fits
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