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: 0.2.0 Depends: R (≥ 3.0.0) Imports: netmeta (≥ 0.9-7), meta (≥ 8.0-1), stats (≥ 3.4.3), parallel (≥ 3.4.1), MASS (≥ 7.3-47), reshape2 (≥ 1.4.3), ggplot2 (≥ 3.0.0), gridExtra (≥ 2.3) Published: 2025-02-10 DOI: 10.32614/CRAN.package.NMAoutlier Author: Maria Petropoulou [aut, cre], Guido Schwarzer [aut], Agapios Panos [aut], Dimitris Mavridis [aut] Maintainer: Maria Petropoulou <maria.petropoulou at uniklinik-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: Linking:Please use the canonical form https://CRAN.R-project.org/package=NMAoutlier to link to this page.
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