dtlg: A Performance-Focused Package for Clinical Trial Tables
Create high-performance clinical reporting tables (TLGs) from ADaM-like inputs. The package provides a consistent, programmatic API to generate common tables such as demographics, adverse event incidence, and laboratory summaries, using 'data.table' for fast aggregation over large populations. Functions support flexible target-variable selection, stratification by treatment, and customizable summary statistics, and return tidy, machine-readable results ready to render with downstream table/formatting packages in analysis pipelines.
| Version: | 0.0.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | data.table,vctrs |
| Suggests: | dplyr,random.cdisc.data,rmarkdown,tern,kableExtra,testthat (≥ 3.0.0),bench,tidyr,rtables, dtlg.data (≥0.2.0),withr |
| Published: | 2025-09-23 |
| DOI: | 10.32614/CRAN.package.dtlg |
| Author: | Max Ebenezer-Brown [aut], Max Norman [aut], Xinye Li [aut], Anja Peebles-Brown [aut], Ramiro Magno [aut, cre] |
| Maintainer: | Ramiro Magno <ramiro.morgado at ascent.io> |
| License: | MIT + fileLICENSE |
| URL: | https://AscentSoftware.github.io/dtlg/ |
| NeedsCompilation: | no |
| Additional_repositories: | https://ascentsoftware.r-universe.dev |
| Materials: | README,NEWS |
| CRAN checks: | dtlg results[issues need fixing before 2026-01-15] |
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