liver: "Eating the Liver of Data Science"

Offers a suite of helper functions to simplify various data science techniques for non-experts. This package aims to enable individuals with only a minimal level of coding knowledge to become acquainted with these techniques in an accessible manner. Inspired by an ancient Persian idiom, we liken this process to "eating the liver of data science," suggesting a deep and intimate engagement with the field of data science. This package includes functions for tasks such as data partitioning for out-of-sample testing, calculating Mean Squared Error (MSE) to assess prediction accuracy, and data transformations (z-score and min-max). In addition to these helper functions, the 'liver' package also features several intriguing datasets valuable for multivariate analysis.

Version: 1.15
Depends: R (≥ 3.5.0)
Imports: class, ggplot2
Suggests: pROC, skimr, knitr, rmarkdown
Published: 2023-11-01
Author: Reza Mohammadi ORCID iD [aut, cre], Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi at uva.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.uva.nl/profile/a.mohammadi
NeedsCompilation: no
Materials: README NEWS
CRAN checks: liver results

Documentation:

Reference manual: liver.pdf
Vignettes: Example for Data Analysis

Downloads:

Package source: liver_1.15.tar.gz
Windows binaries: r-devel: liver_1.15.zip, r-release: liver_1.15.zip, r-oldrel: liver_1.15.zip
macOS binaries: r-release (arm64): liver_1.15.tgz, r-oldrel (arm64): liver_1.15.tgz, r-release (x86_64): liver_1.15.tgz
Old sources: liver archive

Linking:

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