Package: rem 1.3.1
Laurence Brandenberger
rem: Relational Event Models (REM)
Calculate endogenous network effects in event sequences and fit relational event models (REM): Using network event sequences (where each tie between a sender and a target in a network is time-stamped), REMs can measure how networks form and evolve over time. Endogenous patterns such as popularity effects, inertia, similarities, cycles or triads can be calculated and analyzed over time.
Authors:
rem_1.3.1.tar.gz
rem_1.3.1.tar.gz(r-4.7-arm64)rem_1.3.1.tar.gz(r-4.7-x86_64)rem_1.3.1.tar.gz(r-4.6-arm64)rem_1.3.1.tar.gz(r-4.6-x86_64)
rem_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rem/json (API)
| # Install 'rem' in R: |
| install.packages('rem', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:278408b125. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 158 | ||
| linux-devel-x86_64 | OK | 138 | ||
| source / vignettes | OK | 170 | ||
| linux-release-arm64 | OK | 128 | ||
| linux-release-x86_64 | OK | 136 | ||
| wasm-release | OK | 115 |
Exports:createRemDatasetdegreeStateventSequencefourCycleStatinertiaStatreciprocityStatsimilarityStattimeToEventtriadStat
Dependencies:codetoolsdoParallelforeachiteratorsRcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit Relational Event Models (REM) | rem-package relational event model relational-event-model rem |
| Create REM data set with dynamic risk sets | createRemDataset |
| Calculate (in/out)-degree statistics | degree degreeStat indegree outdegree |
| Create event sequence | event sequence event.sequence eventSequence |
| Calculate four cycle statistics | fourCycle fourCycleStat |
| Calculate inertia statistics | inertia inertiaStat |
| Calculate reciprocity statistics | reciprocity reciprocityStat |
| Calculate similarity statistics | similarity similarityStat |
| Calculate the time-to-next-event or the time-since-date for a REM data set. | timeToEvent |
| Calculate triad statistics | triad triadStat |