liver: "Eating the Liver of Data Science"

Provides a collection of helper functions that make various techniques from data science more user-friendly for non-experts. In this way, our aim is to allow non-experts to become familiar with the techniques with only a minimal level of coding knowledge. Indeed, following an ancient Persian idiom, we refer to this as "eating the liver of data science" which could be interpreted as "getting intimately close with data science". Examples of procedures we include are: data partitioning for out-of-sample testing, computing Mean Squared Error (MSE) for quantifying prediction accuracy, and data transformation (z-score and min-max). Besides such helper functions, the package also includes several interesting datasets that are useful for multivariate analysis.

Package details

AuthorReza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>), Kevin Burke [aut]
MaintainerReza Mohammadi <a.mohammadi@uva.nl>
LicenseGPL (>= 2)
Version1.9
URL https://www.uva.nl/profile/a.mohammadi
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("liver")

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liver documentation built on Sept. 12, 2021, 5:06 p.m.