madshapR: Support Technical Processes Following 'Maelstrom Research' Standards

Functions to support rigorous processes in data cleaning, evaluation, and documentation across datasets from different studies based on Maelstrom Research guidelines. The package includes the core functions to evaluate and format the main inputs that define the process, diagnose errors, and summarize and evaluate datasets and their associated data dictionaries. The main outputs are clean datasets and associated metadata, and tabular and visual summary reports. As described in Maelstrom Research guidelines for rigorous retrospective data harmonization (Fortier I and al. (2017) <doi:10.1093/ije/dyw075>).

Version: 1.0.3
Depends: R (≥ 3.4)
Imports: dplyr (≥ 1.1.0), rlang, stringr, crayon, ggplot2, tidytext, grDevices, graphics, lubridate, janitor, forcats, knitr, haven, bookdown, stats, DT, readr, tidyr, fs, utils, fabR (≥ 2.0.0), lifecycle
Published: 2023-12-19
Author: Guillaume Fabre ORCID iD [aut, cre], Maelstrom-research group [cph, fnd]
Maintainer: Guillaume Fabre <guijoseph.fabre at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: madshapR results


Reference manual: madshapR.pdf
Vignettes: madshapR-vignette


Package source: madshapR_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): madshapR_1.0.3.tgz, r-oldrel (arm64): madshapR_1.0.3.tgz, r-release (x86_64): madshapR_1.0.3.tgz
Old sources: madshapR archive

Reverse dependencies:

Reverse imports: mlstrOpalr, Rmonize


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