CRAN/E | eider

eider

Declarative Feature Extraction from Tabular Data Records

Installation

About

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.

github.com/alan-turing-institute/eider
Bug report File report

Key Metrics

Version 1.0.0
Published 2024-05-13 163 days ago
Needs compilation? no
License MIT
License File
CRAN checks eider results

Downloads

Yesterday 6 +20%
Last 7 days 105 -2%
Last 30 days 501 -13%
Last 90 days 1.881 +68%
Last 365 days 2.999

Maintainer

Maintainer

Camila Rangel Smith

Authors

Catalina Vallejos

ctb

Louis Aslett

ctb

Simon Rogers

ctb

Camila Rangel Smith

cre / ctb

Helen Duncan Little

aut

Jonathan Yong

aut

The Alan Turing Institute

cph / fnd

Material

README
NEWS
Reference manual
Package source

Vignettes

Combination features
Introduction to eider
Examples: A&E data
Examples: LTC data
Examples: PIS data
Examples: SMR04 data
An overview of features
Filtering
Logging and errors
Preprocessing

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Imports

dplyr
lubridate
stringr
magrittr
jsonlite
logger
purrr
fs
tibble
rlang

Suggests

knitr
rmarkdown
testthat ≥ 3.0.0
tidyr