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 [aut, cre], Guido Schwarzer [aut], Agapios Panos [aut], Dimitris Mavridis [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

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