R Observatory: Metrics for ideanet version 1.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ideanet

1.1.1Package record

Integrating Data Exchange and Analysis for Networks ('ideanet')

0packages depend

6.8Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Tom WolffCRAN page ↗

A suite of convenient tools for social network analysis geared toward students, entry-level users, and non-expert practitioners. ‘ideanet’ features unique functions for the processing and measurement of sociocentric and egocentric network data. These functions automatically generate node- and system-level measures commonly used in the analysis of these types of networks. Outputs from these functions maximize the ability of novice users to employ network measurements in further analyses while making all users less prone to common data analytic errors. Additionally, ‘ideanet’ features an R Shiny graphic user interface that allows novices to explore network data with minimal need for coding.

Install

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

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

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

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-ideanet

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-ideanet

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-ideanet

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: 15.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.1

READMEYes · 960 wordsVignettesYes · 8 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 33 (1 internal)
Examples that run: 100%16 run in a plain check
Exported functions with examples: 73%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 12%

Vignettes (8)

How these are measured

Downloads

6.8K

CRAN downloads in the past year

Rank #7,152 · ~19/day · ~569/mo

Releases R versions

Daily download trend is not available in this view yet.

43430 days

1.2K90 days

6.8K1 year

Compare downloads with other packages →

Also on118 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

37 external dependencies (excludes base and recommended)

Installing ideanet adds 142 packages (73 with compiled code, 110 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)

R >= 3.5.0igraphdata

Imports (30)

CliquePercolationclustercolorspace concorR cowplot data.table dplyr forcats ggplot2 ggthemesgrDevicesgridGraphics igraph intergraph jsonlite magrittrMatrixmethodsmoments network readxl reshape2 rlang RSpectra shiny sna stringr tibble tidyr tidyselect

LinkingTo (0)

none

Suggests (10)

DT devtools egor ergm shinythemes shinyWidgets knitr rmarkdown shinycssloaders visNetwork

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (9)

Tom Wolff

Author, Maintainer since 1.0.0 (2024)

Author

Author

Author

Author

Jonathan Howard Morgan

Author

Peter Mucha

Author

Dana Pasquale

Author

Gabriel Varela

Author

Listed in earlier versions (1)

Morgan

no longer listed · 1.0.0 to 1.1.1

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.1.1Latest
record
2025-07-03 · current release · diff ↗ ·
added 1 export
get_egograph
1.1.0
record
2025-05-08 · diff ↗ ·
added 3 exports
CHAMP, get_CHAMP_map, get_partitions
R
R 4.5.0 released · 2025-04-11
1.0.0
record
2024-12-13
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-12-13
Total releases: 3 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Bundled data: 36 KB / 11 files
Download size: 3.1 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ideanet")

Format

Wolff, T., Bhojani, E., Heraty, E., Lele, K., Moody, J., Morgan, J. H., Mucha, P., Pasquale, D., & Varela, G. (2025). ideanet: Integrating Data Exchange and Analysis for Networks ('ideanet') (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ideanet

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 ideanet version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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