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: | 0.2.1 |
| 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: | 2025-10-02 |
| DOI: | 10.32614/CRAN.package.NMAoutlier |
| Author: | Maria Petropoulou [aut, cre], Guido Schwarzer [aut], Agapios Panos [aut], Dimitris Mavridis [aut] |
| Maintainer: | Maria Petropoulou <m.petropoulou.a at gmail.com> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/petropouloumaria/NMAoutlier |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | AnomalyDetection,MetaAnalysis |
| CRAN checks: | NMAoutlier results |