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DIETCOST  

Calculate the Cost and Environmental Impact of a Ideal Diet
View on CRAN: Click here


Download and install DIETCOST package within the R console
Install from CRAN:
install.packages("DIETCOST")

Install from Github:
library("remotes")
install_github("cran/DIETCOST")

Install by package version:
library("remotes")
install_version("DIETCOST", "1.0.0.0")



Attach the package and use:
library("DIETCOST")
Maintained by
Henrique Bracarense
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-09
Latest Update: 2025-05-09
Description:
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>.
How to cite:
Henrique Bracarense (2025). DIETCOST: Calculate the Cost and Environmental Impact of a Ideal Diet. R package version 1.0.0.0, https://cran.r-project.org/web/packages/DIETCOST. Accessed 21 Aug. 2026.
Previous versions and publish date:
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Complete documentation for DIETCOST
Functions, R codes and Examples using the DIETCOST R package
Full DIETCOST package functions and examples
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