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robvis: Visualize the Results of Risk-of-Bias (ROB) Assessments

Helps users in quickly visualizing risk-of-bias assessments performed as part of a systematic review. It allows users to create weighted bar-plots of the distribution of risk-of-bias judgments within each bias domain, in addition to traffic-light plots of the specific domain-level judgments for each study. The resulting figures are of publication quality and are formatted according the risk-of-bias assessment tool use to perform the assessments. Currently, the supported tools are ROB2.0 (for randomized controlled trials; Sterne et al (2019) <doi:10.1136/bmj.l4898>), ROBINS-I (for non-randomised studies of interventions; Sterne et al (2016) <doi:10.1136/bmj.i4919>), and QUADAS-2 (for diagnostic accuracy studies; Whiting et al (2011) <doi:10.7326/0003-4819-155-8-201110180-00009>).

Version: 0.3.0
Depends: R (≥ 2.10)
Imports: ggplot2, tidyr, scales
Suggests: knitr, rmarkdown, covr, testthat
Published: 2019-11-22
Author: Luke McGuinness [aut, cre], Emily Kothe [ctb]
Maintainer: Luke McGuinness <luke.mcguinness at bristol.ac.uk>
BugReports: https://github.com/mcguinlu/robvis
License: MIT + file LICENSE
URL: https://github.com/mcguinlu/robvis
NeedsCompilation: no
Citation: robvis citation info
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: robvis results

Documentation:

Reference manual: robvis.pdf
Vignettes: Introduction to robvis

Downloads:

Package source: robvis_0.3.0.tar.gz
Windows binaries: r-devel: robvis_0.3.0.zip, r-release: robvis_0.3.0.zip, r-oldrel: robvis_0.3.0.zip
macOS binaries: r-release (arm64): robvis_0.3.0.tgz, r-oldrel (arm64): robvis_0.3.0.tgz, r-release (x86_64): robvis_0.3.0.tgz, r-oldrel (x86_64): robvis_0.3.0.tgz

Reverse dependencies:

Reverse suggests: meta

Linking:

Please use the canonical form https://CRAN.R-project.org/package=robvis to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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