Rmonize_website

<p>Direct call to the package website, which includes an overview of the
Rmonize process, vignettes and user guides, a reference list of functions
and help pages, and package updates.</p>

Integrated tools to support rigorous and well documented data
harmonization based on Maelstrom Research guidelines. The package includes
functions to assess and prepare input elements, apply specified processing
rules to generate harmonized datasets, validate data processing and identify
processing errors, and document and summarize harmonized outputs. The
harmonization process is defined and structured by two key user-generated
documents: the DataSchema (specifying the list of harmonized variables to
generate across datasets) and the Data Processing Elements (specifying the
input elements and processing algorithms to generate harmonized variables
in DataSchema formats). The package was developed to address key  challenges
of retrospective data harmonization in epidemiology (as described in
Fortier I and al. (2017) <doi:10.1093/ije/dyw075>) but can be used for any
data harmonization initiative.

Rmonize_website: Call to package website

Description

Usage

Arguments

Value

Examples