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NMAoutlier  

Detecting Outliers in Network Meta-Analysis
View on CRAN: Click here


Download and install NMAoutlier package within the R console
Install from CRAN:
install.packages("NMAoutlier")

Install from Github:
library("remotes")
install_github("cran/NMAoutlier")

Install by package version:
library("remotes")
install_version("NMAoutlier", "0.2.1")



Attach the package and use:
library("NMAoutlier")
Maintained by
Maria Petropoulou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-01
Latest Update: 2025-02-10
Description:
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.
How to cite:
Maria Petropoulou (2019). NMAoutlier: Detecting Outliers in Network Meta-Analysis. R package version 0.2.1, https://cran.r-project.org/web/packages/NMAoutlier. Accessed 08 Oct. 2026.
Previous versions and publish date:
0.1.13 (2019-02-01 18:33), 0.1.17 (2021-02-01 16:20), 0.1.18 (2021-10-11 13:40), 0.2.0 (2025-02-10 13:50), (2026-07-09 08:14)
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Complete documentation for NMAoutlier
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