eHDPrep: Quality Control and Semantic Enrichment of Datasets

A tool for the preparation and enrichment of health datasets for analysis. Provides functionality for assessing data quality and for improving the reliability and machine interpretability of a dataset. 'eHDPrep' also enables semantic enrichment of a dataset where metavariables are discovered from the relationships between input variables determined from user-provided ontologies.

Version: 1.2.1
Depends: R (≥ 3.6.0)
Imports: ggplot2 (≥ 3.3.3), dplyr (≥ 1.0.3), forcats (≥ 0.5.0), stringr (≥ 1.4.0), purrr (≥ 0.3.4), tidyr (≥ 1.1.2), kableExtra (≥ 1.3.1), magrittr (≥ 2.0.1), tibble (≥ 3.0.5), scales (≥ 1.1.1), rlang (≥ 0.4.10), quanteda (≥ 2.1.2), tm (≥ 0.7-8), pheatmap (≥ 1.0.12), igraph (≥ 1.2.6), tidygraph (≥ 1.2.0), readr (≥ 1.4.0), readxl (≥ 1.3.1), knitr (≥ 1.31)
Suggests: testthat (≥ 2.1.0), ggraph (≥ 2.0.5)
Published: 2022-09-07
Author: Tom Toner ORCID iD [aut], Ian Overton ORCID iD [aut, cre]
Maintainer: Ian Overton <I.Overton at qub.ac.uk>
License: GPL-3
NeedsCompilation: no
CRAN checks: eHDPrep results

Documentation:

Reference manual: eHDPrep.pdf
Vignettes: Introduction to eHDPrep

Downloads:

Package source: eHDPrep_1.2.1.tar.gz
Windows binaries: r-devel: eHDPrep_1.2.1.zip, r-release: eHDPrep_1.2.1.zip, r-oldrel: eHDPrep_1.2.1.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): eHDPrep_1.2.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): eHDPrep_1.2.1.tgz

Linking:

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