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tflmetaR: Manage Annotation Metadata in Statistical Outputs

Provides functions to retrieve headers, titles, and footnotes from structured metadata sources (e.g., Excel or CSV files) for annotating tables, listings, and figures in clinical study reports (CSRs) or other formal deliverables. It supports separation of metadata from analysis code in clinical reporting workflows.

Version: 0.1.5
Depends: R (≥ 4.1.0)
Imports: jsonlite, readxl, writexl
Suggests: dplyr, gridify, gt, haven, knitr, mockery (≥ 0.3.0), rmarkdown, survival, survminer, testthat (≥ 3.0.0)
Published: 2026-03-23
DOI: 10.32614/CRAN.package.tflmetaR
Author: Amber Wu [aut], Gary Cao [aut], Lan Cheng [aut], Yao Lu [aut, cre], UCB S.A., Belgium [cph, fnd]
Maintainer: Yao Lu <yao.lu at ucb.com>
License: Apache License (≥ 2.0)
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: tflmetaR results

Documentation:

Reference manual: tflmetaR.html , tflmetaR.pdf
Vignettes: Creating Kaplan-Meier Survival Plots with tflmetaR and gridify (source, R code)
Using tflmetaR with gt for Professional Tables (source, R code)

Downloads:

Package source: tflmetaR_0.1.5.tar.gz
Windows binaries: r-devel: tflmetaR_0.1.5.zip, r-release: tflmetaR_0.1.5.zip, r-oldrel: tflmetaR_0.1.5.zip
macOS binaries: r-release (arm64): tflmetaR_0.1.5.tgz, r-oldrel (arm64): not available, r-release (x86_64): tflmetaR_0.1.5.tgz, r-oldrel (x86_64): tflmetaR_0.1.5.tgz

Linking:

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