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Optimal Level of Significance for Regression and Other Statistical Tests

0packages depend
2.2Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

The optimal level of significance is calculated based on a decision-theoretic approach. The optimal level is chosen so that the expected loss from hypothesis testing is minimized. A range of statistical tests are covered, including the test for the population mean, population proportion, and a linear restriction in a multiple regression model. The details are covered in Kim and Choi (2020) doi:10.1111/abac.12172, and Kim (2021) doi:10.1080/00031305.2020.1750484.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Jae H. Kim <jaekim8080@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Jae", "H."),
                    family = "Kim",
                    role = c("aut", "cre"),
                    email = "jaekim8080@gmail.com")
as necessary.

CRAN check page ↗

Slowest check: 1.3 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 2.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
18includes a package overview page
Examples that run
100%18 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.2K
CRAN downloads in the past year
Rank #23,000 · ~6/day · ~182/mo
Daily download trend is not available in this view yet.
19430 days
57390 days
2.2K1 year
Compare downloads with other packages →
Also on69 r2u4 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing OptSig adds 1 package (0 with compiled code, 79 KB of source tarballs). Heaviest: pwr 79 KB.

Depends (0)
none
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 1.0 (2017)

Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 2.2Latest
    record
    2022-07-03 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 2.1
    record
    2020-04-18 · diff ↗
  • 2.0
    record
    2019-09-08 · diff ↗ ·
    removed 12 exports
    Opt.Sig, Opt.SigBoot, Opt.SigBootWeight, Opt.SigWeight, Opt.sig.2p2n.test, Opt.sig.anova.test, Opt.sig.chisq.test, Opt.sig.p.test, Opt.sig.r.test, Opt.sig.t2n.test, Opt.sig.2p.test, Opt.Sig.Chisq
    added 11 exports
    OptSig.F, OptSig.Boot, OptSig.BootWeight, OptSig.Weight, OptSig.2p2n, OptSig.anova, OptSig.p, OptSig.r, OptSig.t2n, OptSig.2p, OptSig.Chisq
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0
    record
    2017-12-21
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-12-21
Total releases
4 / 9 yrs
License
GPL-2 OSI
Bundled data
1.3 KB / 1 file
Download size
19 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("OptSig")

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 OptSig version 2.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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