R Observatory: Metrics for stat.extend version 0.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2023-04-28. Its history is shown below.

Reason: issues were not corrected in time

Details below reflect version 0.2.1, its last release before removal.

stat.extend

0.2.1Package record

Highest Density Regions and Other Functions of Distributions

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Neal FultzCRAN page ↗

Highest Density Regions are the smallest set in the support of a probability distribution with the specified coverage probability. 'HDRs' may contain disjoint intervals, but can be calculated efficiently using iterative methods. One can similarly construct optimal (i.e., shortest) confidence intervals for some basic inferential problems, including for population means, variances, or proportion parameters.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/stat.extend/stat.extend_0.2.1.tar.gz"
pkgFile <- "stat.extend_0.2.1.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 (0.2.1) 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.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11 (1 internal)
Examples that run: 100%7 run in a plain check
Exported functions with examples: 71%
Documented parameters: 95%
Return-value docs: 100%
Help pages citing references: 18%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on30 r2u5 autocran

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (1)

sets

LinkingTo (0)

none

Suggests (4)

extraDistr invgamma matrixStats VGAM

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Neal Fultz

Maintainer since 0.1.1 (2020), Contributor

Ben O'Neill

Author, Copyright holder

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2023-04-28
issues were not corrected in time
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.2.1
record
2021-11-23 · diff ↗
0.2.0
record
2021-11-20 · diff ↗ ·
added 8 exports
lsubfactorial, dmatching, pmatching, qmatching, rmatching, moments.matching, MLE.matching, matching.test
R
R 4.1.0 released · 2021-05-18
0.1.4
record
2020-10-08 · diff ↗ ·
added 1 export
reformat
0.1.1
record
2020-08-11
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-08-11
Total releases: 4 / 6 yrs
License: MIT + file LICENSE OSI

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("stat.extend")

Format

O'Neill, B., & Fultz, N. (n.d.). stat.extend: Highest Density Regions and Other Functions of Distributions (Version 0.2.1) [Computer software]. Retrieved October 27, 2026, from https://CRAN.R-project.org/package=stat.extend

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 stat.extend version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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