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forestly: Interactive Forest Plot

Interactive forest plot for clinical trial safety analysis using 'metalite', 'reactable', 'plotly', and Analysis Data Model (ADaM) datasets. Includes functionality for adverse event filtering, incidence-based group filtering, hover-over reveals, and search and sort operations. The workflow allows for metadata construction, data preparation, output formatting, and interactive plot generation.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: brew, crosstalk, glue, htmltools, metalite, metalite.ae, reactable, reactR, rlang
Suggests: covr, dplyr, knitr, r2rtf, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-07-19
Author: Yilong Zhang [aut], Benjamin Wang [aut, cre], Yujie Zhao [aut], Nan Xiao [ctb], Xuan Deng [ctb], Merck Sharp & Dohme Corp [cph]
Maintainer: Benjamin Wang <benjamin.wang at merck.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: forestly results

Documentation:

Reference manual: forestly.pdf
Vignettes: An Introduction to the forestly Package

Downloads:

Package source: forestly_0.1.0.tar.gz
Windows binaries: r-devel: forestly_0.1.0.zip, r-release: forestly_0.1.0.zip, r-oldrel: forestly_0.1.0.zip
macOS binaries: r-release (arm64): forestly_0.1.0.tgz, r-oldrel (arm64): forestly_0.1.0.tgz, r-release (x86_64): forestly_0.1.0.tgz, r-oldrel (x86_64): forestly_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=forestly 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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