Identifies implausible anthropometric (e.g., height, weight) measurements in irregularly spaced longitudinal datasets, such as those from electronic health records.
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2.2.3 by Carrie Daymont, 5 months ago
https://carriedaymont.github.io/growthcleanr/index.html, https://github.com/carriedaymont/growthcleanr
Report a bug at https://github.com/carriedaymont/growthcleanr/issues
Browse source code at https://github.com/cran/growthcleanr
Authors: Carrie Daymont [ctb, cre] , Robert Grundmeier [aut] , Jeffrey Miller [aut] , Diego Campos [aut] , Dan Chudnov [ctb] , Hannah De los Santos [ctb] , Lusha Cao [ctb] , Steffani Silva [ctb] , Hanzhe Zhang [ctb] , Matt Boyas [ctb] , David Freedman [ctb] , Andreas Achilleos [ctb] , Jessica Butts [ctb] , Sheila Nguyen [ctb] , Taraneh Soleymani [ctb] , Max Olivier [ctb]
Documentation: PDF Manual
MIT + file LICENSE license
Imports R.utils, data.table, tidyr, plyr, dplyr, foreach, doParallel, labelled, magrittr, rlang
Suggests argparser, bit64, knitr, rmarkdown, testthat
Suggested by bsitar.
See at CRAN