R Observatory: Metrics for NeEDS4BigData version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

NeEDS4BigData

1.0.1Package record

New Experimental Design Based Subsampling Methods for Big Data

0packages depend

2.7Kdownloads / year

90.4%test coverage

13/13flavors OK

Overview

About

Maintained by Amalan MahendranCRAN page ↗GitHub ↗Website ↗Issues ↗

Subsampling methods for big data under different models and assumptions. Starting with linear regression and leading to Generalised Linear Models, softmax regression, and quantile regression. Specifically, the model-robust subsampling method proposed in Mahendran, A., Thompson, H., and McGree, J. M. (2023) doi:10.1007/s00362-023-01446-9, where multiple models can describe the big data, and the subsampling framework for potentially misspecified Generalised Linear Models in Mahendran, A., Thompson, H., and McGree, J. M. (2025) doi:10.48550/arXiv.2510.05902.

Install

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

install.packages("NeEDS4BigData", 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("Amalan-ConStat/NeEDS4BigData")

Development version from Amalan-ConStat/NeEDS4BigData. 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-needs4bigdata

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-NeEDS4BigData

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-NeEDS4BigData

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: 6.7 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-10-25
ERROR12 OK, 1 ERROR2026-10-24
OK13 OK2026-08-12
ERROR12 OK, 1 ERROR2026-08-09
OK13 OK2026-08-05

Show 11 earlier changesHide 11 earlier changes

NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-20
ERROR12 OK, 1 ERROR2026-06-18
OK13 OK2026-05-24
ERROR12 OK, 1 ERROR2026-05-22
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-04-15
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-11
NOTE11 OK, 3 NOTE2026-03-25
ERROR11 OK, 2 NOTE, 1 ERROR2026-03-22
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

README· In the repository, left out of the releaseVignettes· In the repository, left out of the releaseNEWS· In the repository, left out of the releaseCitation fileNoWebsiteYes · pkgdown

Help pages: 18
Examples that run: 100%16 run in a plain check
Exported functions with examples: 87%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 78% with a bibliography file

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #17,515 · ~7/day · ~224/mo

Releases R versions

Daily download trend is not available in this view yet.

27230 days

73690 days

2.7K1 year

Compare downloads with other packages →

Also on132 r2u4 autocran

How downloads are counted

Repository

amalan-constat/needs4bigdata ↗Account: Amalan-ConStat

3Stars

0Forks

0Open issues

0Open PRs

0Releases

72Commits

1Commit identities

big-datacranexperimental-designsubsampling

72 commits · Last activity 2025-10-18 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2025-10-23 · 22026-07-07 · 3

How these are measured

PracticesBeta

10 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/amalan-constat/needs4bigdata on 2026-10-21.

Governance and community (1)

Code of conduct

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2025-10-18

Coverage (1)

Coverage reporting (Codecov)

Reproducibility and dev environment (2)

renvdata-raw/

Show all practicesHide 2 practices

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

22 external dependencies (excludes base and recommended)

Installing NeEDS4BigData adds 47 packages (25 with compiled code, 55 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.1.0

Imports (14)

dplyr foreach gam ggh4x ggplot2 ggridges matrixStats mvnfast psych Rdpack Rfast rlangstatstidyr

LinkingTo (0)

none

Suggests (10)

doParallel ggpubr kableExtra knitrparallelrmarkdown spelling testthat vctrs pillar

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 (1)

Amalan Mahendran

Author, Maintainer since 1.0.1 (2025)

Releases (1)

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
record
2025-10-22 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-10-22
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 6.7 MB / 3 files
Download size: 7.5 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NeEDS4BigData")

Format

Mahendran, A. (2025). NeEDS4BigData: New Experimental Design Based Subsampling Methods for Big Data (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.NeEDS4BigData

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 NeEDS4BigData version 1.0.1 [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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