avilesd/productConfig: Tools to analyze behavioral patterns from Product Configurators

This package provides tools to analyze data created by the use of product configurators. Product configurators are about decision making. A lot is to be learned from the data generated by their use regarding behavioral patterns and the process of decision making. The package offers basic functions for examining the data, e.g.'Number of users' up until more complex functions based on existing literature, e.g. gain/loss matrices and value functions. The functioning of 'productConfig' is based on the principles of prospect theory. In order to understand what it does you should be familiar with prospect theory and the process it proposes for understanding decision making. Otherwise, we recommend the lecture of the papers we based our development on.

Getting started

Package details

URL https://github.com/avilesd/productConfig
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
avilesd/productConfig documentation built on May 11, 2019, 4:08 p.m.