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applicable

R-CMD-check Codecov test coverage Lifecycle:experimental CRAN status

Introduction

There are times when a model’s prediction should be taken with some skepticism. For example, if a new data point is substantially different from the training set, its predicted value may be suspect. In chemistry, it is not uncommon to create an “applicability domain” model that measures the amount of potential extrapolation new samples have from the training set. applicable contains different methods to measure how much a new data point is an extrapolation from the original data (if at all).

Installation

You can install the released version of applicable from CRAN with:

install.packages("applicable")

Install the development version of applicable from GitHub with:

# install.packages("devtools")
devtools::install_github("tidymodels/applicable")

Contributing

This project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.