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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
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:

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