NMAoutlier: Detecting Outliers in Network Meta-Analysis

A set of functions providing the forward search algorithm for detecting outlying studies (i.e., studies with extreme findings) in network meta-analysis: - provides the length of the initial subset for forward search algorithm; - iterations of forward search algorithm; - basic set of studies in each step of forward search algorithm; - summary estimates and their confidence intervals in each step of forward search algorithm; - outlying case diagnostics measures; - ranking measures; - heterogeneity and inconsistency measures; - forward plot for summary estimates and their confidence intervals; - forward plots for monitored measures: outlying case diagnostics measures, ranking measures, heterogeneity, and inconsistency measures.

Version: 0.1.13
Depends: R (≥ 3.0.0)
Imports: netmeta (≥ 0.9-7), stats (≥ 3.4.3), parallel (≥ 3.4.1), MASS (≥ 7.3-47), reshape2 (≥ 1.4.3), ggplot2 (≥ 3.0.0), gridExtra (≥ 2.3)
Published: 2019-02-01
Author: Maria Petropoulou ORCID iD [aut, cre], Guido Schwarzer ORCID iD [aut], Agapios Panos [aut], Dimitris Mavridis ORCID iD [aut]
Maintainer: Maria Petropoulou <mpetrop at cc.uoi.gr>
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


Reference manual: NMAoutlier.pdf
Package source: NMAoutlier_0.1.13.tar.gz
Windows binaries: r-devel: NMAoutlier_0.1.13.zip, r-release: NMAoutlier_0.1.13.zip, r-oldrel: NMAoutlier_0.1.13.zip
macOS binaries: r-release: NMAoutlier_0.1.13.tgz, r-oldrel: NMAoutlier_0.1.13.tgz


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