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.

Getting started

Package details

AuthorGiuseppe Arena [aut, cre] (<https://orcid.org/0000-0001-5204-3326>), Marlyne Meijerink-Bosman [aut], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
MaintainerGiuseppe Arena <g.arena@tilburguniversity.edu>
LicenseMIT + file LICENSE
Version3.2.2
URL https://tilburgnetworkgroup.github.io/remstats/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("remstats")

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remstats documentation built on May 29, 2024, 5:21 a.m.