Package: dream 1.1.1

Kevin A. Carson

dream: Dynamic Relational Event Analysis and Modeling

A set of tools for relational and event analysis, including two- and one-mode network brokerage and structural measures, and helper functions optimized for relational event analysis with large datasets, including creating relational risk sets, computing network statistics, estimating relational event models, and simulating relational event sequences. For more information on relational event models, see Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x>, Lerner and Lomi (2020) <doi:10.1017/nws.2019.57>, Bianchi et al. (2024) <doi:10.1146/annurev-statistics-040722-060248>, and Butts et al. (2023) <doi:10.1017/nws.2023.9>. In terms of the structural measures in this package, see Leal (2025) <doi:10.1177/00491241251322517>, Burchard and Cornwell (2018) <doi:10.1016/j.socnet.2018.04.001>, and Fujimoto et al. (2018) <doi:10.1017/nws.2018.11>. This package was developed with support from the National Science Foundation’s (NSF) Human Networks and Data Science Program (HNDS) under award number 2241536 (PI: Diego F. Leal). Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.

Authors:Kevin A. Carson [aut, cre], Diego F. Leal [aut]

dream_1.1.1.tar.gz
dream_1.1.1.zip(r-4.6)dream_1.1.1.zip(r-4.5)
dream_1.1.1.tgz(r-4.6-x86_64)dream_1.1.1.tgz(r-4.6-arm64)dream_1.1.1.tgz(r-4.5-x86_64)dream_1.1.1.tgz(r-4.5-arm64)
dream_1.1.1.tar.gz(r-4.6-arm64)dream_1.1.1.tar.gz(r-4.6-x86_64)dream_1.1.1.tar.gz(r-4.5-arm64)dream_1.1.1.tar.gz(r-4.5-x86_64)
dream_1.1.1.tgz(r-4.5-emscripten)
dream.pdf |dream.html✨
dream/json (API)
NEWS

# Install 'dream' in R:
install.packages('dream', repos = c('https://kevincarson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kevincarson/dream/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

network-analysisrelational-event-modelscpp

4.07 score 3 stars 13 scripts 906 downloads 34 exports 10 dependencies

Last updated from:576c806959. Checks:12 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK161
linux-devel-x86_64OK172
source / vignettesOK235
linux-release-arm64OK154
linux-release-x86_64OK142
macos-devel-arm64OK184
macos-devel-x86_64OK330
macos-release-arm64OK168
macos-release-x86_64OK335
windows-develOK196
windows-releaseOK151
wasm-releaseOK154

Exports:create_risksetcreate_riskset_constantcreate_riskset_dynamicdreamstats_degreedreamstats_dyadcutdreamstats_fourcyclesdreamstats_persistencedreamstats_prefattachmentdreamstats_recencydreamstats_reciprocitydreamstats_repetitiondreamstats_triadsestimate_rem_logitnetstats_om_constraintnetstats_om_effectivenetstats_om_nwalksnetstats_om_pibnetstats_tm_constraintnetstats_tm_degreecentnetstats_tm_densitynetstats_tm_effectivenetstats_tm_egodistancenetstats_tm_homfourcyclesnetstats_tm_redundancyremstats_degreeremstats_dyadcutremstats_fourcyclesremstats_persistenceremstats_prefattachmentremstats_recencyremstats_reciprocityremstats_repetitionremstats_triadssimulate_rem_seq

Dependencies:clicodetoolscollapsedata.tabledoParallelforeachiteratorslifecycleRcpprlang

Readme and manuals

Help Manual

Help pageTopics
Process and Create Risk Sets for a One- and Two-Mode Relational Event Sequencescreate_riskset
Process and Create Risk Sets for a One- and Two-Mode Relational Event Sequencescreate_riskset_constant
Process and Create Time-Dynamic Risk Sets for a One- and Two-Mode Relational Event Sequencescreate_riskset_dynamic
dream: A Package for Dynamic Relational Event Analysis and Modelingdream
Compute Degree Network Statistics for Event Senders and Receivers in a Relational Event Sequencedreamstats_degree
A Helper Function to Assist Researchers in Finding Dyadic Weight Cutoff Valuesdreamstats_dyadcut
Compute the Four-Cycles Network Statistic for Event Dyads in a Relational Event Sequencedreamstats_fourcycles
Compute Butts' (2008) Persistence Network Statistic for Event Dyads in a Relational Event Sequencedreamstats_persistence
Compute Butts' (2008) Preferential Attachment Network Statistic for Event Dyads in a Relational Event Sequencedreamstats_prefattachment
Compute Butts' (2008) Recency Network Statistic for Event Dyads in a Relational Event Sequencedreamstats_recency
Compute the Reciprocity Network Statistic for Event Dyads in a Relational Event Sequencedreamstats_reciprocity
Compute Butts' (2008) Repetition Network Statistic for Event Dyads in a Relational Event Sequencedreamstats_repetition
Compute Butts' (2008) Triadic Formation Statistics for Relational Event Sequencesdreamstats_triads
Fit a Relational Event Model (REM) to Event Sequence Dataestimate_rem_logit
Compute Burt's (1992) Constraint for Ego Networks from a Sociomatrixnetstats_om_constraint
Compute Burt's (1992) Effective Size for Ego Networks from a Sociomatrixnetstats_om_effective
Compute the Number of Walks of Length K in a One-Mode Networknetstats_om_nwalks
Compute Potential for Intercultural Brokerage (PIB) Based on Leal (2025)netstats_om_pib
Compute Burchard and Cornwell's (2018) Two-Mode Constraintnetstats_tm_constraint
Compute Degree Centrality Values for Two-Mode Networksnetstats_tm_degreecent
Compute Level-Specific Graph Density for Two-Mode Networksnetstats_tm_density
Compute Burchard and Cornwell's (2018) Two-Mode Effective Sizenetstats_tm_effective
Compute Fujimoto, Snijders, and Valente's (2018) Ego Homophily Distance for Two-Mode Networksnetstats_tm_egodistance
Compute Fujimoto, Snijders, and Valente's (2018) Homophilous Four-Cycles for Two-Mode Networksnetstats_tm_homfourcycles
Compute Burchard and Cornwell's (2018) Two-Mode Redundancynetstats_tm_redundancy
Print Method for Summary of dream Modelprint.dream
Print Method for dream Modelprint.summary.dream
Compute Degree Network Statistics for Event Senders and Receivers in a Relational Event Sequenceremstats_degree
A Helper Function to Assist Researchers in Finding Dyadic Weight Cutoff Valuesremstats_dyadcut
Compute the Four-Cycles Network Statistic for Event Dyads in a Relational Event Sequenceremstats_fourcycles
Compute Butts' (2008) Persistence Network Statistic for Event Dyads in a Relational Event Sequenceremstats_persistence
Compute Butts' (2008) Preferential Attachment Network Statistic for Event Dyads in a Relational Event Sequenceremstats_prefattachment
Compute Butts' (2008) Recency Network Statistic for Event Dyads in a Relational Event Sequenceremstats_recency
Compute the Reciprocity Network Statistic for Event Dyads in a Relational Event Sequenceremstats_reciprocity
Compute Butts' (2008) Repetition Network Statistic for Event Dyads in a Relational Event Sequenceremstats_repetition
Compute Butts' (2008) Triadic Formation Statistics for Relational Event Sequencesremstats_triads
Simulate a Random One-Mode Relational Event Sequencesimulate_rem_seq
Davis Southern Women's Datasetsouthern.women
Summary Method for dream Objectssummary.dream
Wikipedia Edit Event Sequence 2018WikiEvent2018.first100k