The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ambre: Multi-Barrier Approach for Water Reuse Risk Assessment

Provides a Quantitative Microbial Risk Assessment (QMRA) framework for the reuse of treated wastewater in agricultural irrigation. Following a multi-barrier approach, the package simulates pathogen inflow and removal along a treatment train, estimates human exposure, and computes health risk indicators such as infection probability, illness probability, and Disability-Adjusted Life Years (DALYs). It also supports an economic analysis of the treatment scenarios considered. For more details see <doi:10.36904/20240595>.

Version: 2.1.2
Depends: R (≥ 4.1.0)
Imports: colorspace, cowplot, dplyr, EnvStats, formattable, ggplot2, plyr, purrr, readxl, rlang, scales, sfsmisc, stats, stringr, tibble, tidyr, utils
Suggests: knitr, rmarkdown, spelling, testthat, writexl
Published: 2026-09-04
DOI: 10.32614/CRAN.package.ambre
Author: Flora Girard ORCID iD [aut, cre], Nicolas Forquet ORCID iD [ctb], Arthur Bréant [ctb], Colin Fay ORCID iD [ctb]
Maintainer: Flora Girard <flora.girard at inrae.fr>
BugReports: https://forge.inrae.fr/reversaal/reut/ambre-package/-/issues
License: MIT + file LICENSE
URL: https://forge.inrae.fr/reversaal/reut/ambre-package
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: ambre results

Documentation:

Reference manual: ambre.html , ambre.pdf
Vignettes: Get started with ambre (source, R code)
Initial situation VS New scenario (source, R code)
Preparing your input file (source, R code)
Interpreting risk against the WHO target (source, R code)
Costing a reuse scenario (source, R code)
What-if: calibrating exposure (source, R code)
The Monte-Carlo engine (source, R code)
The config_ambre database (source, R code)

Downloads:

Package source: ambre_2.1.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ambre to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.