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eider  

Declarative Feature Extraction from Tabular Data Records
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("eider", "1.0.0")



Attach the package and use:
library("eider")
Maintained by
Camila Rangel Smith
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-13
Latest Update: 2024-05-13
Description:
Extract features from tabular data in a declarative fashion, with a focus on processing medical records. Features are specified as JSON and are independently processed before being joined. Input data can be provided as CSV files or as data frames. This setup ensures that data is transformed in a modular and reproducible manner, and allows the same pipeline to be easily applied to new data.
How to cite:
Camila Rangel Smith (2024). eider: Declarative Feature Extraction from Tabular Data Records. R package version 1.0.0, https://cran.r-project.org/web/packages/eider. Accessed 07 Nov. 2024.
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