EARN

Epistemic Association Rule Networks

rENA ARM (aka EARN): Integrating Epistemic Network Analysis and Association Rule Mining

Overview

This R script extends the rENA package by generating:

• 2-node and multi-node rule networks
• Difference networks comparing rule structures across groups or conditions

To use EARN:

1. Load the dataset and specify which columns represent units, codes, and conversations as required by the rENA framework
2. Define the association rule metrics (m1, m2, m3)
   • m1 can be any metric except for addedValue (support, confidence, coverage, lift, cosine)
   • m2 can be any symmetric metric (support, lift, cosine)
   • m3 can be any asymmetric metric (confidence, coverage, addedValue)
3. Define model parameters: rotation groups, moving window size, and threshold

Functions:

• ena_arm_func(): Generates EARN plots for each group or condition

• ena_arm_func_diff(): Generates difference plots comparing EARN structures between pairs of groups

You can install the rENA package using the following command: install.packages("rENA", repos = c("https://cran.qe-libs.org", "https://cran.rstudio.org"))

If you have additional issues installing it, please contact [email protected]