Calculate the Cost and Environmental Impact of a Ideal Diet R package DIETCOST version 1.0.0.0 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>. Software Depends: R (>= 2.10) Imports: readxl, rlang, dplyr, tidyselect, stats, xlsx, magrittr Henrique Bracarense <hbracarense@hotmail.com> Comprehensive R Archive Network (CRAN) 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>) MIT + file LICENSE (https://CRAN.R-project.org/package=DIETCOST/LICENSE) 2025-05-09 application/tgz https://CRAN.R-project.org/package=DIETCOST doi:10.32614/CRAN.package.DIETCOST