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robvis
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]
[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 21 Nov. 2024.
Previous versions and publish date:
No previous versions
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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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