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), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017), 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.
- Version3.2.2
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release05/15/2024
Documentation
Team
Giuseppe Arena
Joris Mulder
Show author detailsRolesContributorRoger Leenders
Show author detailsRolesContributorRumana Lakdawala
Show author detailsRolesContributorMarlyne Meijerink-Bosman
Show author detailsRolesAuthorDiana Karimova
Show author detailsRolesContributorFabio Generoso Vieira
Show author detailsRolesContributorMahdi Shafiee Kamalabad
Show author detailsRolesContributor
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- Imports1 package
- Suggests4 packages
- Linking To3 packages
- Reverse Imports1 package
- Reverse Enhances1 package