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metalite.sl: Subject-Level Analysis Using 'metalite'

Analyzes subject-level data in clinical trials using the 'metalite' data structure. The package simplifies the workflow to create production-ready tables, listings, and figures discussed in the subject-level analysis chapters of "R for Clinical Study Reports and Submission" by Zhang et al. (2022) <https://r4csr.org/>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: glue, metalite, metalite.ae, forestly, r2rtf, reactable, stringr, rlang, plotly, htmltools, brew, uuid
Suggests: dplyr, knitr, testthat (≥ 3.0.0), tidyr
Published: 2024-12-23
DOI: 10.32614/CRAN.package.metalite.sl
Author: Benjamin Wang [aut, cre], Yujie Zhao [aut], Hiroaki Fukuda [aut], PoYao Niu [aut], Nan Xiao [aut], Jeetener Chauhan [ctb], Li Ma [ctb], Chen Wang [ctb], Merck Sharp & Dohme Corp [cph]
Maintainer: Benjamin Wang <benjamin.wang at merck.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: metalite.sl results

Documentation:

Reference manual: metalite.sl.pdf
Vignettes: Baseline Characteristics Table (source, R code)
Disposition Table (source, R code)
Exposure Duration Table (source, R code)
Build an Interactive Baseline Characteristic Table (source, R code)
Introduction to metalite.sl (source, R code)
Treatment Compliance Table (source, R code)

Downloads:

Package source: metalite.sl_0.1.0.tar.gz
Windows binaries: r-devel: metalite.sl_0.1.0.zip, r-release: metalite.sl_0.1.0.zip, r-oldrel: metalite.sl_0.1.0.zip
macOS binaries: r-release (arm64): metalite.sl_0.1.0.tgz, r-oldrel (arm64): metalite.sl_0.1.0.tgz, r-release (x86_64): metalite.sl_0.1.0.tgz, r-oldrel (x86_64): metalite.sl_0.1.0.tgz

Linking:

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