DIETCOST - Calculate the Cost and Environmental Impact of a Ideal Diet
Easily perform a Monte Carlo simulation to evaluate the
cost and carbon, ecological, and water footprints of a set of
ideal diets. Pre-processing tools are also available to quickly
treat the data, along with basic statistical features to
analyze the simulation results — including the ability to
establish confidence intervals for selected parameters, such as
nutrients and price/emissions. A 'standard version' of the
datasets employed is included as well, allowing users easy
access to customization. This package brings to R the 'Python'
software initially developed by Vandevijvere, Young, Mackay,
Swinburn and Gahegan (2018) <doi:10.1186/s12966-018-0648-6>.
