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NMAoutlier

0.2.1

Detecting Outliers in Network Meta-Analysis

0packages depend
3.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Maria PetropoulouFirst published 2019-02-015 releasesCRAN page ↗GitHub ↗

A set of functions providing several outlier (i.e., studies with extreme findings) and influential detection measures and methodologies in network meta-analysis : - simple outlier and influential detection measures - outlier and influential detection measures by considering study deletion (shift the mean) - plots for outlier and influential detection measures - Q-Q plot for network meta-analysis - Forward Search algorithm in network meta-analysis. - forward plots to monitor statistics in each step of the forward search algorithm - forward plots for summary estimates and their confidence intervals in each step of forward search algorithm.

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
38%
Documented parameters
100%
Return-value docs
33%
References docs
24%

Downloads

3.6K
CRAN downloads in the past year
Rank #9,791 · ~10/day · ~297/mo
Daily download trend is not available in this view yet.
36730 days
96190 days
3.6K1 year
Compare downloads with other packages →
Also on131 r2u29 autocran40 c2d4u

Repository

Repository
6Stars
2Forks
0Open issues
0Open PRs
0Releases
103Commits
4Contributors
outlier-detection-measuresinfluence-measuresmahalanobis-distancenetwork-meta-analysisoutlier
License GPL-2.0 · 103 commits · Last activity 2025-09-12

Stars over time

2025-03-25 · 62026-07-07 · 6

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/petropouloumaria/nmaoutlier on 2026-08-16.

Continuous integration (1)
Travis CI
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0.0
Imports (8)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1Latest
    2025-10-02 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.0
    2025-02-10 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.18
    2021-10-11 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.17
    2021-02-01 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.13
    2019-02-01
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2019-02-01
Total releases
5 / 7 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
1.4 KB / 2 files
Download size
236 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NMAoutlier")
Petropoulou, M., Mavridis, D., Panos, A., & Schwarzer, G. (2025). NMAoutlier: Detecting Outliers in Network Meta-Analysis (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.NMAoutlier

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for NMAoutlier version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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