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.

Package details

AuthorMaria Petropoulou [aut, cre] (<https://orcid.org/0000-0002-7147-3644>), Guido Schwarzer [aut] (<https://orcid.org/0000-0001-6214-9087>), Agapios Panos [aut], Dimitris Mavridis [aut] (<https://orcid.org/0000-0003-1041-4592>)
MaintainerMaria Petropoulou <[email protected]>
LicenseGPL (>= 2)
Version0.1.13
URL https://github.com/petropouloumaria/NMAoutlier
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NMAoutlier")

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NMAoutlier documentation built on May 2, 2019, 1:08 p.m.