R Observatory: Metrics for HighProbability version 1.0-2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2004-05-05. Its history is shown below.

Details below reflect version 1.0-2, its last release before removal.

HighProbability

1.0-2

HighProbability estimates which alternative hypotheses have frequentist or Bayesian probabilities at least as great as a specified threshold, given a list of p-values.

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by David R. Bickel2 releasesCRAN page ↗

HighProbability provides a simple, fast, reliable solution to the multiple testing problem. Given a vector of p-values or achieved significance levels computed using standard frequentist inference, HighProbability determines which ones are low enough that their alternative hypotheses can be considered highly probable. The p-value vector may be determined using existing R functions such as t.test, wilcox.test, cor.test, or sample. HighProbability can be used to detect differential gene expression and to solve other problems involving a large number of hypothesis tests.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/HighProbability/HighProbability_1.0-2.tar.gz"
pkgFile <- "HighProbability_1.0-2.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0-2) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

0

Dependencies · direct

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: not tracked
Documented parameters: not tracked
Return-value docs: not tracked
References docs: 50%

Downloads

HighProbability Releases R versions

Daily download trend is not available in this view yet.

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Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Other (1)

David R. Bickel

Contributor

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 2.0.0 released · 2004-10-04
1.0-2
2004-05-05 · diff ↗
1.0-2archived
2004-05-05 · diff ↗
R
R 1.9.0 released · 2004-04-12
R
R 1.8.0 released · 2003-10-08
R
R 1.7.0 released · 2003-04-16
R
R 1.6.0 released · 2002-10-01
R
R 1.5.0 released · 2002-04-29
1.0
1977-08-08

Package metadata

Total releases: 2
License: Mozilla Public License 1.1 (http://www.mozilla.org/MPL/)
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HighProbability")

Format

Bickel, D. R. (n.d.). HighProbability: HighProbability estimates which alternative hypotheses have frequentist or Bayesian probabilities at least as great as a specified threshold, given a list of p-values. (Version 1.0-2) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=HighProbability

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 HighProbability version 1.0-2 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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