R Observatory: Metrics for DetectOutlier version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

DetectOutlier

0.1.1Package record

Detect Outliers in Data Frames and Export Results

0packages depend

39downloads / year

–test coverage

11/11flavors OK

Overview

About

Maintained by Prakash KumarCRAN page ↗

Identifies potential outliers in numeric columns of a data frame using the interquartile range (IQR), defined as the difference between the third and first quartiles. Values below the first quartile minus 1.5 times the IQR or above the third quartile plus 1.5 times the IQR are flagged as potential outliers. The package can export rows containing outliers to comma-separated values (CSV) files and create 'Excel' workbooks with outlier values highlighted and a summary of outlier counts.

Install

R (CRAN)Fedora (COPR)

install.packages("DetectOutlier", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-DetectOutlier

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

Health

CRAN checks

11OK

CRAN check page ↗

Slowest check: 1.5 min · r-devel-windows-x86_64

Status changes

OK11 OKNow
OK1 OK2026-10-21

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 100%2 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

39

CRAN downloads in the past year

Rank #25,705 · ~0/day · ~3/mo

DetectOutlier Releases R versions

Daily download trend is not available in this view yet.

3930 days

3990 days

391 year

Compare downloads with other packages →

How downloads are counted

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Installing DetectOutlier adds 5 packages (5 with compiled code, 15 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, openxlsx 1.3 MB.

Depends (1)

R >= 4.0

Imports (1)

openxlsx

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (6)

Prakash Kumar

Author, Maintainer since 0.1.1 (2026)

Paritosh Kumar ICAR-NIASM

Author

Author

Author

Author

Author

Listed in earlier versions (4)

Show 4 peopleHide 4 people

Amrit Kumar

no longer listed · 0.1.1

Paritosh Kumar

no longer listed · 0.1.1

Ranjit Kumar

no longer listed · 0.1.1

Himadri Sekhar

no longer listed · 0.1.1

Releases (1)

0.1.1Latest
record
2026-10-21 · current release ·
8 days in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-13 08:46 to 2026-10-21 15:47 UTC, in 49 readings.
R
R 4.6.0 released · 2026-04-24

Across CRAN, the median accepted release of the past year spent 26 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2026-10-21
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0
Download size: 3.5 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DetectOutlier")

Format

Kumar, P., ICAR-NIASM, P. K., Paul, A. K., Paul, R. K., Roy, H. S., & Yeasin, M. (2026). DetectOutlier: Detect Outliers in Data Frames and Export Results (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.DetectOutlier

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 DetectOutlier version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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