growthcleanr: Data Cleaner for Anthropometric Measurements

Identifies implausible anthropometric (e.g., height, weight) measurements in irregularly spaced longitudinal datasets, such as those from electronic health records.

Version: 2.0.3
Depends: R (≥ 2.10)
Imports: R.utils (≥ 2.11.0), data.table (≥ 1.13.0), tidyr (≥ 1.1.0), plyr (≥ 1.8.6), dplyr (≥ 1.0.1), foreach (≥ 1.5.0), doParallel (≥ 1.0.15), labelled (≥ 2.5.0), magrittr (≥ 1.5)
Suggests: argparser (≥ 0.6), bit64 (≥ 4.0.2), knitr (≥ 1.29), rmarkdown (≥ 2.3), testthat (≥ 2.3.2)
Published: 2022-11-03
Author: Daymont Carrie [ctb, cre], Grundmeier Robert [aut], Miller Jeffrey [aut], Campos Diego [aut], Chudnov Dan [ctb], De los Santos Hannah [ctb], Cao Lusha [ctb], Silva Steffani [ctb], Zhang Hanzhe [ctb], Boyas Matt [ctb], Freedman David [ctb], Achilleos Andreas [ctb], Butts Jessica [ctb], Nguyen Sheila [ctb], Soleymani Taraneh [ctb]
Maintainer: Daymont Carrie <cdaymont at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: growthcleanr citation info
Materials: README NEWS
CRAN checks: growthcleanr results


Reference manual: growthcleanr.pdf


Package source: growthcleanr_2.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): growthcleanr_2.0.3.tgz, r-oldrel (arm64): growthcleanr_2.0.3.tgz, r-release (x86_64): growthcleanr_2.0.3.tgz, r-oldrel (x86_64): growthcleanr_2.0.3.tgz
Old sources: growthcleanr archive


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