Multi-Barrier Approach for Water Reuse Risk Assessment R package ambre version 2.1.2 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>. Software 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 Flora Girard <flora.girard@inrae.fr> Comprehensive R Archive Network (CRAN) Flora Girard [aut, cre] (ORCID: <https://orcid.org/0000-0003-0537-4530>), Nicolas Forquet [ctb] (ORCID: <https://orcid.org/0000-0003-1154-5498>), Arthur Bréant [ctb], Colin Fay [ctb] (ORCID: <https://orcid.org/0000-0001-7343-1846>) MIT + file LICENSE (https://CRAN.R-project.org/package=ambre/LICENSE) 2026-09-04 application/tgz https://CRAN.R-project.org/package=ambre doi:10.32614/CRAN.package.ambre en-US