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argminCS

1.1.0Package record

Argmin Inference over a Discrete Candidate Set

0packages depend
2.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides methods to construct frequentist confidence sets with valid marginal coverage for identifying the population-level argmin or argmax based on IID data. For instance, given an n by p loss matrix—where n is the sample size and p is the number of models—the CS.argmin() method produces a discrete confidence set that contains the model with the minimal (best) expected risk with desired probability. The argmin.HT() method helps check if a specific model should be included in such a confidence set. The main implemented method is proposed by Tianyu Zhang, Hao Lee and Jing Lei (2024) "Winners with confidence: Discrete argmin inference with an application to model selection".

Install

Health

CRAN checks
13OK
Slowest check: 1.4 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

Documentation

In release 1.1.0
READMEYes · 372 wordsVignettesNoNEWSNoCitation fileNo
Help pages
15 (2 internal)
Examples that run
100%10 run in a plain check
Exported functions with examples
91%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
40% with a bibliography file

Downloads

2.4K
CRAN downloads in the past year
Rank #17,535 · ~7/day · ~203/mo
Daily download trend is not available in this view yet.
27130 days
72790 days
2.4K1 year
Compare downloads with other packages →
Also on79 r2u

Repository

0Stars
1Forks
0Open issues
0Open PRs
0Releases
133Commits
3Commit identities
133 commits · Last activity 2025-07-09
Responsiveness
not measured

Forks over time

2024-06-14 · 12026-07-07 · 1
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/xu3cl4/argmincs on 2026-10-18.

Continuous integration (1)
GitHub Actions
Docs source (2)
README.Rmd

GitHub Pages site last deployed 2025-07-09

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing argminCS adds 50 packages (24 with compiled code, 43 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, LDATS 3.0 MB.

Depends (0)
none
Imports (8)
BSDAglueLDATSMASSmethodsRdpackstatswithr
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.1.0 (2025), Copyright holder
Author
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0Latest
    2025-07-14 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-07-14
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
54 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("argminCS")
Lee, H., Lei, J., & Zhang, T. (2025). argminCS: Argmin Inference over a Discrete Candidate Set (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.argminCS

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for argminCS version 1.1.0 [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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