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Package: NMAoutlier
Title: Detecting Outliers in Network Meta-Analysis
Version: 0.2.1
Date: 2025-09-9
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)
Authors@R: c(person("Maria", "Petropoulou",
role = c("aut", "cre"),
email = "maria.petropoulou@uniklinik-freiburg.de",
comment = c(ORCID = "0000-0002-7147-3644")),
person("Guido", "Schwarzer",
role = "aut",
comment = c(ORCID = "0000-0001-6214-9087")),
person("Agapios", "Panos",
role = "aut"),
person("Dimitris", "Mavridis",
role = "aut",
comment = c(ORCID = "0000-0003-1041-4592")))
Author: Maria 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>)
Maintainer: Maria Petropoulou <maria.petropoulou@uniklinik-freiburg.de>
URL: https://github.com/petropouloumaria/NMAoutlier
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.3
NeedsCompilation: no