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.

Version: 3.2.1
Depends: R (≥ 4.0.0)
Imports: Rcpp (≥ 1.0.8.3), stats
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: graphics, tinytest, remify (≥ 3.2.0), knitr, rmarkdown
Published: 2023-11-29
Author: Marlyne Meijerink-Bosman [aut, cre], Giuseppe Arena [ctb], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
Maintainer: Marlyne Meijerink-Bosman <m.l.meijerink at tilburguniversity.edu>
BugReports: https://github.com/TilburgNetworkGroup/remstats/issues
License: GPL (≥ 3)
URL: https://github.com/TilburgNetworkGroup/remstats
NeedsCompilation: yes
Materials: NEWS
CRAN checks: remstats results

Documentation:

Reference manual: remstats.pdf
Vignettes: remstats

Downloads:

Package source: remstats_3.2.1.tar.gz
Windows binaries: r-prerel: remstats_3.2.1.zip, r-release: remstats_3.2.1.zip, r-oldrel: remstats_3.2.1.zip
macOS binaries: r-prerel (arm64): remstats_3.2.1.tgz, r-release (arm64): remstats_3.2.1.tgz, r-oldrel (arm64): remstats_3.2.1.tgz, r-prerel (x86_64): remstats_3.2.1.tgz, r-release (x86_64): remstats_3.2.1.tgz
Old sources: remstats archive

Reverse dependencies:

Reverse imports: remstimate

Linking:

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