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NMAoutlier: Detecting Outliers in Network Meta-Analysis
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.
| Version: |
0.1.18 |
| Depends: |
R (≥ 3.0.0) |
| Imports: |
netmeta (≥ 0.9-7), meta (≥ 4.19-1), stats (≥ 3.4.3), parallel (≥ 3.4.1), MASS (≥ 7.3-47), reshape2 (≥ 1.4.3), ggplot2 (≥ 3.0.0), gridExtra (≥ 2.3) |
| Published: |
2021-10-11 |
| Author: |
Maria Petropoulou 
[aut, cre],
Guido Schwarzer
[aut],
Agapios Panos [aut],
Dimitris Mavridis
[aut] |
| Maintainer: |
Maria Petropoulou <petropoulou at imbi.uni-freiburg.de> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/petropouloumaria/NMAoutlier |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
MetaAnalysis |
| CRAN checks: |
NMAoutlier results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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