  Artificial hydrocarbon networks (AHN) is a novel supervised learning method
inspired on the structure and the inner chemical mechanisms of organic
compounds. As any other cutting-edge algorithm, there are two challenges to be
faced: time-consuming for encoding and complications to connect with other
technologies. Large and open source platforms have proved to be an alternative
solution to the latter challenges. In that sense, this paper aims to introduce
the ahnr package for R that implements AHN. It provides several functions to
create, train, test and visualize AHN. It also includes conventional functions
to easily interact with the trained models. For illustration purposes, it
presents several examples about the applications of AHN in engineering, as well
as, the way to use it. This package is intended to be very useful for
scientists and applied researchers interested in machine learning and data
modeling. Package availability is in the Comprehensive R Archive Network.
