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 [cre, aut], Thais Marquezine [aut], Rafael Claro [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: DIETCOST_1.0.0.0.zip, r-release: DIETCOST_1.0.0.0.zip, 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

Linking:

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