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NeEDS4BigData

1.0.1

New Experimental Design Based Subsampling Methods for Big Data

0packages depend
1.9Kdownloads / year
90.4%test coverage
13/13checks pass

Overview

About
Maintained by Amalan MahendranFirst published 2025-10-221 releasesCRAN page ↗GitHub ↗

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

Health

CRAN checks
13OK
Slowest check: 6.7 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.40
90.4%
Coverage · measured lines
100%
Documentation · exports
14
Dependencies · direct
Check history
  • OK2026-06-20
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-18
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-24
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-05-22
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 5 earlier snapshots
  • NOTE2026-04-15
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-11
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-25
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-22
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
78%

Downloads

1.9K
CRAN downloads in the past year
Rank #19,662 · ~5/day · ~159/mo
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24130 days
59090 days
1.9K1 year
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Repository

Repository
3Stars
0Forks
0Open issues
0Open PRs
0Releases
72Commits
1Contributors
big-datacranexperimental-designsubsampling
72 commits · Last activity 2025-10-18 · 0% stars, 30d

Stars over time

2024-11-25 · 12026-07-07 · 3

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/amalan-constat/needs4bigdata on 2026-07-19.

Reproducibility and dev environment (2)
renvdata-raw/
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
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Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    2026-03-10 · 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
Installed size
not tracked yet
With dependencies
not tracked yet
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