**liver**

The `R`

package **liver** 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.

## Installation

To install the latest version of this package from CRAN, do the
following from the R console:

`install.packages( "liver" )`

## Loading

## Example for Data Analysis

To see how to use the functionality of the package for data
analysis:

https://CRAN.R-project.org/package=liver/vignettes/liver-example.html