Package: remstats
Type: Package
Title: Computes Statistics for Relational Event History Data
Version: 3.2.1
Date: 2023-11-29
Authors@R: 
    c(
        person(
            given = "Marlyne",
            family = "Meijerink-Bosman",
            role = c("aut", "cre"),
            email = "m.l.meijerink@tilburguniversity.edu"),
        person(
            given = "Giuseppe",
            family = "Arena",
            role = "ctb",
            email = "g.arena@tilburguniversity.edu"),
        person(
            given = "Diana",
            family = "Karimova",
            role = "ctb",
            email = "d.karimova@tilburguniversity.edu"),
        person(
            given = "Rumana",
            family = "Lakdawala",
            role = "ctb",
            email = "r.j.lakdawala@tilburguniversity.edu"),
        person(
            given = "Mahdi",
            family = "Shafiee Kamalabad",
            role = "ctb",
            email = "m.shafiee@tilburguniversity.edu"),
        person(
            given = "Fabio",
            family = "Generoso Vieira",
            role = "ctb",
            email = "f.v.generosovieira@tilburguniversity.edu"),
        person(
            given = "Roger",
            family = "Leenders",
            role = "ctb",
            email = "r.t.a.j.leenders@tilburguniversity.edu"),
        person(
            given = "Joris",
            family = "Mulder",
            role = "ctb",
            email = "j.mulder3@tilburguniversity.edu")
    )
Maintainer: Marlyne Meijerink-Bosman <m.l.meijerink@tilburguniversity.edu>
Description: 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.  
License: GPL (>= 3)
URL: https://github.com/TilburgNetworkGroup/remstats
BugReports: https://github.com/TilburgNetworkGroup/remstats/issues
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.2.3
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
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-11-29 12:17:33 UTC; mlbosman
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]
Repository: CRAN
Date/Publication: 2023-11-29 12:40:02 UTC
Built: R 4.4.0; x86_64-apple-darwin20; 2024-04-08 00:14:49 UTC; unix
Archs: remstats.so.dSYM
