R Observatory: Metrics for remstimate version 3.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

remstimate

3.1.0Package record

Optimization Frameworks for Tie-Oriented and Actor-Oriented Relational Event Models

1packages dependsuggested by 1

9.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Giuseppe ArenaCRAN page ↗GitHub ↗Website ↗Issues ↗

Tools for fitting, diagnosing, and analyzing tie-oriented and actor-oriented relational event models, under both frequentist and Bayesian approaches. The package supports tie-oriented modeling (Butts, 2008, doi:10.1111/j.1467-9531.2008.00203.x) and an actor-oriented modeling framework (Stadtfeld et al., 2017, doi:10.15195/v4.a14), with additional model diagnostics and goodness-of-fit tools. Interfaces to estimation backends provide a range of extensions: random-effects (frailty) relational event models capturing sender, receiver, and dyadic heterogeneity (Juozaitiene & Wit 2024, doi:10.1007/s11336-024-09952-x; Mulder & Hoff, 2024, doi:10.1214/24-AOAS1885), finite mixture and dyadic latent class models for unobserved dyadic heterogeneity (Lakdawala et al., 2026, doi:10.1016/j.socnet.2026.06.006), penalized estimation via the lasso, ridge, and elastic net (Tibshirani, R., 1996, doi:10.1111/j.2517-6161.1996.tb02080.x; Karimova et al., 2023, doi:10.1016/j.socnet.2023.02.006), and approximate Bayesian regularization (Karimova et al., 2025, doi:10.1016/j.jmp.2025.102925). Modeling of events with a duration is also supported (Lakdawala et al., 2026, doi:10.48550/arXiv.2602.21000) and moving window relational event models (Mulder & Leenders, 2019, doi:10.1016/j.chaos.2018.11.027; Meijerink et al., 2023, doi:10.1371/journal.pone.0272309).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("remstimate", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("TilburgNetworkGroup/remstimate")

Development version from TilburgNetworkGroup/remstimate. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-remstimate

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-remstimate

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-remstimate

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 6.5 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-27
ERROR11 OK, 2 ERROR2026-07-14
OK13 OK2026-05-21

Show 7 earlier changesHide 7 earlier changes

ERROR10 OK, 3 ERROR2026-05-05
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
NOTE11 OK, 3 NOTE2026-04-10
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-09
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 3.1.0

README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWS· In the repository, left out of the releaseCitation fileNoWebsiteYes · pkgdown

Help pages: 20 (1 internal)includes a package overview page
Examples that run: 64%9 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run · 1 hold no code
Exported functions with examples: 91%
Documented parameters: 100%
Return-value docs: 91%
Help pages citing references: 35%

Vignettes (1)

Modeling relational event networks with remstimate

How these are measured

Downloads

9.3K

CRAN downloads in the past year

Rank #4,525 · ~25/day · ~775/mo

Releases R versions

Daily download trend is not available in this view yet.

45930 days

1.8K90 days

9.3K1 year

Compare downloads with other packages →

Also on389 r2u4 autocran

How downloads are counted

Repository

tilburgnetworkgroup/remstimate ↗Account: TilburgNetworkGroup

5Stars

1Forks

3Open issues

0Open PRs

0Releases

228Commits

6Commit identities

228 commits · Last activity 2026-08-31

Responsiveness

How these are sampled

PRs merged (all time): 0%
Median days to close, 50 most recently updated closed issues: 142
Median days to close, 50 most recently updated closed PRs: 30

Stars over time

2022-08-10 · 42026-07-07 · 5

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/tilburgnetworkgroup/remstimate on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)

pkgdown

GitHub Pages site last deployed 2025-09-26 · The repository has a site deploy workflow

pkgdown site last built 2025-09-26, before release 3.1.0 (2026-07-17)

Coverage (1)

Coverage reporting

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

18 external dependencies (excludes base and recommended)

Installing remstimate adds 17 packages (11 with compiled code, 28 MB of source tarballs). Heaviest: BH 14 MB, igraph 4.8 MB, remify 1.9 MB.

Depends (3)

R >= 4.0.0remify remstats

Imports (3)

Rcpp trust mvnfast

LinkingTo (3)

Rcpp RcppArmadillo remify

Suggests (13)

knitr rmarkdown tinytestsurvivalcoxme glmnet lme4 glmmTMB flexmix shrinkemMASSnnetremdata (>= 0.2.1)

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

remverse

Suggests, most downloaded first

BFpack

How these are counted

Code & Tests

Datasets

People & History

People (8)

Giuseppe Arena

Author, Maintainer since 2.3.8 (2023)

Fabio Generoso Vieira

Author

Author

Author

Contributor

Contributor

Marlyne Meijerink-Bosman

Contributor

Mahdi Shafiee Kamalabad

Contributor

Releases (7)

Pick two releases to compare their code metrics.

3.1.0Latest
record
2026-07-17 · current release · diff ↗ ·
added 8 exports
bic_table, dlcrem, frailty_rem, remfrailty, remixture, rempenalty, remtribute, remwindow
3.0.0
record
2026-05-13 · diff ↗ ·
removed 4 exports
aic, aicc, bic, waic

added 2 exports
AICC, WAIC
R
R 4.6.0 released · 2026-04-24
2.3.14
record
2025-09-26 · diff ↗
R
R 4.5.0 released · 2025-04-11
2.3.13
record
2025-01-29 · diff ↗
2.3.11
record
2024-05-16 · diff ↗
2.3.9
record
2024-05-13 · diff ↗
R
R 4.4.0 released · 2024-04-24
2.3.8
record
2023-12-20
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-12-20
Total releases: 7 / 3 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0.0
Bundled data: 2.5 KB / 2 files
Download size: 2.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("remstimate")

Format

Arena, G., Generoso Vieira, F., Karimova, D., Lakdawala, R., Leenders, R., Meijerink-Bosman, M., Mulder, J., & Shafiee Kamalabad, M. (2026). remstimate: Optimization Frameworks for Tie-Oriented and Actor-Oriented Relational Event Models (Version 3.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.remstimate

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for remstimate version 3.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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