R Observatory: Metrics for GRANDpriv version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GRANDpriv

0.2.0Package record

Graph Release with Assured Node Differential Privacy

0packages depend

5Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Suqing LiuCRAN page ↗GitHub ↗Issues ↗

Implements a novel method for privatizing network data using differential privacy. Provides functions for generating synthetic networks based on LSM (Latent Space Model), applying differential privacy to network latent positions to achieve overall network privatization, and evaluating the utility of privatized networks through various network statistics. The privatize and evaluate functions support both LSM and RDPG (Random Dot Product Graph). For generating RDPG networks, users are encouraged to use the 'randnet' package https://CRAN.R-project.org/package=randnet. For more details, see the "proposed method" section of Liu, Bi, and Li (2025) doi:10.48550/arXiv.2507.00402.

Install

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

install.packages("GRANDpriv", 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("lsq0000/GRANDpriv")

Development version from lsq0000/GRANDpriv. 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-grandpriv

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-GRANDpriv

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-GRANDpriv

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: 3.2 min · r-release-macos-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 0.2.0

READMEYes · 748 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 4includes a package overview page
Examples that run: 100%3 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

5K

CRAN downloads in the past year

Rank #14,309 · ~14/day · ~413/mo

Releases R versions

Daily download trend is not available in this view yet.

24730 days

83490 days

5K1 year

Compare downloads with other packages →

Also on53 r2u7 autocran

How downloads are counted

Repository

lsq0000/grandpriv ↗Account: lsq0000

1Stars

0Forks

0Open issues

0Open PRs

0Releases

10Commits

1Commit identities

10 commits · Last activity 2026-10-24 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2026-05-17 · 12026-07-07 · 1

How these are measured

PracticesBeta

Checks run against github.com/lsq0000/grandpriv on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2025-08-23
Commits: at least 1 crediting it in the message

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing GRANDpriv adds 75 packages (41 with compiled code, 83 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)

none

Imports (8)

EnvStats rmutil RSpectra truncnorm randnet igraph HCD transport

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Suqing Liu

Author, Maintainer since 0.1.3 (2025)

Xuan Bi

Author

Tianxi Li

Author

Releases (2)

Pick two releases to compare their code metrics.

0.2.0Latest
record
2026-10-24 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.1.3
record
2025-08-22
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-08-22
Total releases: 2 / 1 yrs
License: GPL (>= 3) OSI
Download size: 18 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GRANDpriv")

Format

Liu, S., Bi, X., & Li, T. (2026). GRANDpriv: Graph Release with Assured Node Differential Privacy (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.GRANDpriv

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 GRANDpriv version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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