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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>.
Getting started
Browse package contents
Package details |
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| Author | Henrique Bracarense [cre, aut] (ORCID: <https://orcid.org/0009-0001-5964-9969>), Thais Marquezine [aut] (ORCID: <https://orcid.org/0000-0002-9415-5817>), Rafael Claro [aut] (ORCID: <https://orcid.org/0000-0001-9690-575X>) |
| Maintainer | Henrique Bracarense <hbracarense@hotmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.0.0 |
| URL | https://github.com/hbracarense/dietcost |
| Package repository | View on CRAN |
| Installation |
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