Package: remify 4.1.0

Giuseppe Arena

remify: Processing and Transforming Relational Event History Data

Efficiently processes relational event history data and transforms them into formats suitable for other packages. The primary objective of this package is to convert event history data into a format that integrates with the packages in 'remverse' and is compatible with various analytical tools (e.g., computing network statistics, estimating tie-oriented or actor-oriented social network models). Second, it can also transform the data into formats compatible with other packages out of 'remverse'. The package processes the data for two types of temporal social network models: tie-oriented modeling framework (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and actor-oriented modeling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>).

Authors:Giuseppe Arena [aut, cre], Joris Mulder [aut], Rumana Lakdawala [ctb], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Fabio Generoso Vieira [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb]

remify_4.1.0.tar.gz
remify_4.1.0.zip(r-4.7)remify_4.1.0.zip(r-4.6)remify_4.1.0.zip(r-4.5)
remify_4.1.0.tgz(r-4.6-x86_64)remify_4.1.0.tgz(r-4.6-arm64)remify_4.1.0.tgz(r-4.5-x86_64)remify_4.1.0.tgz(r-4.5-arm64)
remify_4.1.0.tar.gz(r-4.7-arm64)remify_4.1.0.tar.gz(r-4.7-x86_64)remify_4.1.0.tar.gz(r-4.6-arm64)remify_4.1.0.tar.gz(r-4.6-x86_64)
remify_4.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
remify/json (API)

# Install 'remify' in R:
install.packages('remify', repos = c('https://tilburgnetworkgroup.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tilburgnetworkgroup/remify/issues

Pkgdown/docs site:https://tilburgnetworkgroup.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

cppopenmp

7.97 score 4 stars 3 packages 58 scripts 541 downloads 2 exports 13 dependencies

Last updated from:c30646bc09. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK189
linux-devel-x86_64OK148
source / vignettesOK258
linux-release-arm64OK185
linux-release-x86_64OK162
macos-release-arm64OK117
macos-release-x86_64OK349
macos-oldrel-arm64OK149
macos-oldrel-x86_64OK220
windows-develOK147
windows-releaseOK115
windows-oldrelOK131
wasm-releaseOK122

Exports:is.remify_duremremify

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigRcppRcppArmadillorlangvctrs

Risk set
Definition of risk set | The full risk set | Visualizing the risk set | The active, active_saturated, and manual risk set | The active risk set | active dyads: those observed in randomREHsmall | The manual risk set | Specifying a manual risk set | The processed risk set
Rendered fromriskset.Rmdusingknitr::rmarkdown

Last update: 2026-06-26
Started: 2023-03-14

Process a Relational Event History
Aim | Input | edgelist | directed | ordinal | model | thin | actors | riskset | manual_riskset | event_type | origin | time.units | attach_riskset | riskset_decode | riskset_max_decode | event_covariates | ncores | Running the example | Output | M | E | N | C | D and activeD | intereventTime | edgelist_id | meta | ids | index | omit_dyad | riskset_info | Actor-oriented model output | Methods | print() and summary() | dim() | plot()
Rendered fromremify.Rmdusingknitr::rmarkdown

Last update: 2026-06-26
Started: 2023-04-11