CRAN/E | NMAoutlier

NMAoutlier

Detecting Outliers in Network Meta-Analysis

Installation

About

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.

github.com/petropouloumaria/NMAoutlier

Key Metrics

Version 0.1.18
R ≥ 3.0.0
Published 2021-10-11 937 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks NMAoutlier results

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Maintainer

Maintainer

Maria Petropoulou

petropoulou@imbi.uni-freiburg.de

Authors

Maria Petropoulou

aut / cre

Guido Schwarzer

aut

Agapios Panos

aut

Dimitris Mavridis

aut

Material

NEWS
Reference manual
Package source

In Views

MetaAnalysis

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

NMAoutlier archive

Depends

R ≥ 3.0.0

Imports

netmeta ≥ 0.9-7
meta ≥ 4.19-1
stats ≥ 3.4.3
parallel ≥ 3.4.1
MASS ≥ 7.3-47
reshape2 ≥ 1.4.3
ggplot2 ≥ 3.0.0
gridExtra ≥ 2.3