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remstats

Computes Statistics for Relational Event History Data

Computes a variety of statistics for relational event models. Relational event models enable researchers to investigate both exogenous and endogenous factors influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.

Versions across snapshots

VersionRepositoryFileSize
3.2.5 rolling linux/jammy R-4.5 remstats_3.2.5.tar.gz 563.6 KiB
3.2.5 rolling linux/noble R-4.5 remstats_3.2.5.tar.gz 578.9 KiB
3.2.5 rolling source/ R- remstats_3.2.5.tar.gz 124.4 KiB
3.2.5 latest linux/jammy R-4.5 remstats_3.2.5.tar.gz 563.6 KiB
3.2.5 latest linux/noble R-4.5 remstats_3.2.5.tar.gz 578.9 KiB
3.2.5 latest source/ R- remstats_3.2.5.tar.gz 124.4 KiB
3.2.5 2026-04-26 source/ R- remstats_3.2.5.tar.gz 124.4 KiB
3.2.5 2026-04-23 source/ R- remstats_3.2.5.tar.gz 124.4 KiB
3.2.5 2026-04-09 windows/windows R-4.5 remstats_3.2.5.zip 897.3 KiB
3.2.4 2025-04-20 source/ R- remstats_3.2.4.tar.gz 124.4 KiB

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