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DESCRIPTION
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DESCRIPTION
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Package: Rmonize
Type: Package
Title: Support Retrospective Harmonization of Data
Version: 1.0.1
Authors@R:
c(person(given = "Guillaume",
family = "Fabre",
role = c("aut", "cre"),
email = "guijoseph.fabre@gmail.com",
comment = c(ORCID = "0000-0002-0124-9970")),
person("Maelstrom-research group",
role=c("fnd")))
Maintainer: Guillaume Fabre <guijoseph.fabre@gmail.com>
Description: Functions to support rigorous retrospective data harmonization
processing, 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
harmonization process, apply specified processing rules to generate
harmonized data, diagnose processing errors, and summarize and evaluate
harmonized outputs. The main inputs that define the processing are a
DataSchema (list and definitions of harmonized variables to be generated)
and Data Processing Elements (processing rules to be applied to generate
harmonized variables from study-specific variables). The main outputs of
processing are harmonized datasets, 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>).
License: GPL-3
LazyData: true
Depends: R (>= 3.4)
Imports: dplyr (>= 1.1.0),
rlang,
stringr,
tidyr,
crayon,
haven,
utils,
fs,
fabR (>= 2.0.0),
madshapR
Suggests: janitor,
car,
knitr
URL: https://github.com/maelstrom-research/Rmonize/
BugReports: https://github.com/maelstrom-research/Rmonize/issues
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US