The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 3.2.2
Depends: R (≥ 4.0.0)
Imports: Rcpp (≥ 1.0.8.3), stats, graphics, grDevices
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: tinytest, remify (≥ 3.2.0), knitr, rmarkdown
Published: 2024-05-15
DOI: 10.32614/CRAN.package.remstats
Author: Giuseppe Arena ORCID iD [aut, cre], Marlyne Meijerink-Bosman [aut], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena at tilburguniversity.edu>
BugReports: https://github.com/TilburgNetworkGroup/remstats/issues
License: MIT + file LICENSE
URL: https://tilburgnetworkgroup.github.io/remstats/
NeedsCompilation: yes
CRAN checks: remstats results

Documentation:

Reference manual: remstats.pdf
Vignettes: remstats

Downloads:

Package source: remstats_3.2.2.tar.gz
Windows binaries: r-devel: remstats_3.2.2.zip, r-release: remstats_3.2.2.zip, r-oldrel: remstats_3.2.2.zip
macOS binaries: r-release (arm64): remstats_3.2.2.tgz, r-oldrel (arm64): remstats_3.2.2.tgz, r-release (x86_64): remstats_3.2.2.tgz, r-oldrel (x86_64): remstats_3.2.2.tgz
Old sources: remstats archive

Reverse dependencies:

Reverse imports: remstimate
Reverse enhances: texreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=remstats to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.