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Rmonize  

Support Retrospective Harmonization of Data
View on CRAN: Click here


Download and install Rmonize package within the R console
Install from CRAN:
install.packages("Rmonize")

Install from Github:
library("remotes")
install_github("cran/Rmonize")

Install by package version:
library("remotes")
install_version("Rmonize", "1.1.0")



Attach the package and use:
library("Rmonize")
Maintained by
Guillaume Fabre
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-21
Latest Update: 2023-12-21
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) ).
How to cite:
Guillaume Fabre (2023). Rmonize: Support Retrospective Harmonization of Data. R package version 1.1.0, https://cran.r-project.org/web/packages/Rmonize. Accessed 23 Nov. 2024.
Previous versions and publish date:
1.0.1 (2023-12-21 17:30)
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