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>.

Version: 1.0.0.0
Depends: R (≥ 2.10)
Imports: readxl, rlang, dplyr, tidyselect, stats, xlsx, magrittr
Published: 2025-05-09
DOI: 10.32614/CRAN.package.DIETCOST
Author: Henrique Bracarense ORCID iD [cre, aut], Thais Marquezine ORCID iD [aut], Rafael Claro ORCID iD [aut]
Maintainer: Henrique Bracarense <hbracarense at hotmail.com>
BugReports: https://github.com/hbracarense/dietcost/issues
License: MIT + file LICENSE
URL: https://github.com/hbracarense/dietcost
NeedsCompilation: no
Materials: README
CRAN checks: DIETCOST results

Documentation:

Reference manual: DIETCOST.pdf

Downloads:

Package source: DIETCOST_1.0.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): DIETCOST_1.0.0.0.tgz, r-oldrel (arm64): DIETCOST_1.0.0.0.tgz, r-release (x86_64): DIETCOST_1.0.0.0.tgz, r-oldrel (x86_64): DIETCOST_1.0.0.0.tgz

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