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robvis  

Visualize the Results of Risk-of-Bias (ROB) Assessments
View on CRAN: Click here


Download and install robvis package within the R console
Install from CRAN:
install.packages("robvis")

Install from Github:
library("remotes")
install_github("cran/robvis")

Install by package version:
library("remotes")
install_version("robvis", "0.3.0")



Attach the package and use:
library("robvis")
Maintained by
Luke McGuinness
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-22
Latest Update: 2019-11-22
Description:
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) ), ROBINS-I (for non-randomised studies of interventions; Sterne et al (2016) ), and QUADAS-2 (for diagnostic accuracy studies; Whiting et al (2011) ).
How to cite:
Luke McGuinness (2019). robvis: Visualize the Results of Risk-of-Bias (ROB) Assessments. R package version 0.3.0, https://cran.r-project.org/web/packages/robvis. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.3.0 (2019-11-22 16:00)
Other packages that cited robvis R package
View robvis citation profile
Other R packages that robvis depends, imports, suggests or enhances
Complete documentation for robvis
Functions, R codes and Examples using the robvis R package
Some associated functions: data_quadas . data_rob1 . data_rob2 . data_robins . rob_summary . rob_tools . rob_traffic_light . robvis . 
Some associated R codes: data_quadas.R . data_rob1.R . data_rob2.R . data_robins.R . rob_summary.R . rob_tools.R . rob_traffic_light.R . robvis.R .  Full robvis package functions and examples
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