<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>hbracarense.r-universe.dev</title><link>https://hbracarense.r-universe.dev</link><description>Recent package updates in hbracarense</description><generator>R-universe</generator><image><url>https://github.com/hbracarense.png</url><title>R packages by hbracarense</title><link>https://hbracarense.r-universe.dev</link></image><lastBuildDate>Sun, 11 May 2025 04:26:44 GMT</lastBuildDate><item><title>[hbracarense] DIETCOST 1.0.0.0</title><author>hbracarense@hotmail.com (Henrique Bracarense)</author><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) &lt;doi:10.1186/s12966-018-0648-6&gt;.</description><link>https://github.com/r-universe/hbracarense/actions/runs/29075517842</link><pubDate>Sun, 11 May 2025 04:26:44 GMT</pubDate><r:package>DIETCOST</r:package><r:version>1.0.0.0</r:version><r:status>success</r:status><r:repository>https://hbracarense.r-universe.dev</r:repository><r:upstream>https://github.com/hbracarense/dietcost</r:upstream></item></channel></rss>