Package: redeem 1.0.0
redeem: Relational Event and Durational Event Models
Model relational and durational events in a counting process framework, with functions for estimating and simulating Relational Event Models (REM) and Durational Event Models (DEM). Includes support for time-varying covariates, windowed statistics, and high-dimensional node-level fixed effects. References include Fritz et al. (2026) "Scalable Durational Event Models: Application to Physical and Digital Interactions" <https://arxiv.org/abs/2504.00049>.
Authors:
redeem_1.0.0.tar.gz
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redeem_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
redeem/json (API)
| # Install 'redeem' in R: |
| install.packages('redeem', repos = c('https://corneliusfritz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/corneliusfritz/redeem/issues
Pkgdown/docs site:https://corneliusfritz.github.io
Last updated from:c0c5483e95. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 255 | ||
| linux-devel-x86_64 | NOTE | 225 | ||
| source / vignettes | OK | 280 | ||
| linux-release-arm64 | NOTE | 267 | ||
| linux-release-x86_64 | NOTE | 212 | ||
| macos-release-arm64 | NOTE | 178 | ||
| macos-release-x86_64 | NOTE | 367 | ||
| macos-oldrel-arm64 | NOTE | 136 | ||
| macos-oldrel-x86_64 | NOTE | 498 | ||
| windows-devel | NOTE | 194 | ||
| windows-release | NOTE | 261 | ||
| windows-oldrel | NOTE | 237 | ||
| wasm-release | OK | 156 |
Exports:baselinecheck_matrixcommon_partnercontrol.redeemcountcurrent_common_partnercurrent_common_partner_ISPcurrent_common_partner_ITPcurrent_common_partner_OSPcurrent_common_partner_OTPcurrent_common_partnerscurrent_count_absdiffcurrent_count_in_receivercurrent_count_in_sendercurrent_count_out_receivercurrent_count_out_sendercurrent_count_sumcurrent_degree_absdiffcurrent_degree_in_receivercurrent_degree_in_sendercurrent_degree_out_receivercurrent_degree_out_sendercurrent_degree_sumcurrent_interactioncurrent_triangledegreedegreesdemdem.simulatedurationdyadic_covgeneral_common_partnergeneral_common_partner_ISPgeneral_common_partner_ITPgeneral_common_partner_OSPgeneral_common_partner_OTPgeneral_common_partnersgeneral_count_absdiffgeneral_count_in_receivergeneral_count_in_sendergeneral_count_out_receivergeneral_count_out_sendergeneral_count_sumgeneral_degree_absdiffgeneral_degree_in_receivergeneral_degree_in_sendergeneral_degree_out_receivergeneral_degree_out_sendergeneral_degree_sumgeneral_triangleget_oos_likelihoodget_rankingget_residualsinertiainterceptInterceptmonadic_covnumber_interactionplot_baselinepredict_baseline_trendpspsABAYpsABBApsABBYpsABXApsABXBpsABXYreciprocityremrem.simulatetriangle
Dependencies:data.tabledigestlatticeMASSMatrixRcppRcppArmadilloRcppProgresssurvival
Introduction to Durational Event Models
Rendered fromintroduction_to_dem.Rmdusingknitr::rmarkdownon Jun 23 2026.Last update: 2026-06-04
Started: 2026-06-04
Introduction to Relational Event Models
Rendered fromintroduction_to_rem.Rmdusingknitr::rmarkdownon Jun 23 2026.Last update: 2026-06-04
Started: 2026-06-04
Mathematical Definitions of Sufficient Statistics
Rendered fromsufficient_statistics.Rmdusingknitr::rmarkdownon Jun 23 2026.Last update: 2026-06-04
Started: 2026-06-04
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Validate the Structure of a Durational Event List | check_matrix |
| Control Parameters for REDEEM Models | control.redeem |
| Durational Event Model (DEM) Estimation | dem |
| The dem Object | dem-class dem_object |
| Simulate events based on specified formulas and coefficients | dem.simulate |
| Out-of-sample Log-Likelihood (Proper Scoring Rule) | get_oos_likelihood |
| Get ranking for test events (Out-of-Sample Goodness-of-Fit) | get_ranking |
| Get residuals for model diagnostics (Cox-Snell Residuals) | get_residuals |
| Plot the Estimated Baseline Intensity | plot_baseline |
| Predict the baseline intensity trend at one or more future time points | predict_baseline_trend |
| redeem Model Terms | baseline common_partner count current_common_partner current_common_partners current_common_partner_ISP current_common_partner_ITP current_common_partner_OSP current_common_partner_OTP current_count_absdiff current_count_in_receiver current_count_in_sender current_count_out_receiver current_count_out_sender current_count_sum current_degree_absdiff current_degree_in_receiver current_degree_in_sender current_degree_out_receiver current_degree_out_sender current_degree_sum current_interaction current_triangle degree degrees duration dyadic_cov general_common_partner general_common_partners general_common_partner_ISP general_common_partner_ITP general_common_partner_OSP general_common_partner_OTP general_count_absdiff general_count_in_receiver general_count_in_sender general_count_out_receiver general_count_out_sender general_count_sum general_degree_absdiff general_degree_in_receiver general_degree_in_sender general_degree_out_receiver general_degree_out_sender general_degree_sum general_triangle inertia Intercept intercept monadic_cov number_interaction ps psABAY psABBA psABBY psABXA psABXB psABXY reciprocity redeem_terms statistics terms triangle |
| Relational Event Model (REM) Estimation | rem |
| The rem Object | rem-class rem_object |
| Simulate a Relational Event Model (REM) | rem.simulate |
| Summary of a 'redeem_result' Model Fit | summary.redeem_result |
