Most agricultural experiments involve testing of various technologies using certain inputs which lead to the increase in yield/quality of agricultural produce. Traditionally, recommendations are based on the technologies that lead to a maximum increase in yield.  However such recommendations may not be economically viable for farmers. Economic analysis of the research data can provide an estimate of risks and profitability of the proposed technologies before making recommendations for the farmers.

Marginal analysis is one of such techniques which can assist research workers in decision making. This software is designed to perform marginal analysis on the research data intended to make recommendations to the farmers. It also calculates value cost ratio for various experimental treatments to compare them with untreated control.

1. Partial budget calculations
2. Dominance analysis
3. Marginal rate of return
4. Residuals