ambre 2.1.2

• Add reference in DESCRIPTION file
• Add catId(debug, …) in generate_random_values

ambre 2.1.0

• Add typein volume input of inflow_concentration_custom()

ambre 2.0.0

• Add function run_qmra_custom() to choose volume, frequency and concentration values instead of using default values from database config_ambre
• Add output allocation_key to run_economic_analysis function

ambre 1.3.0

• Add possibility of multibarrier in Excel input file
• Correct regulation matrix calculation

ambre 1.2.0

• Add function to create scenario from dataframe

ambre 1.1.0

• Fix bug to simulate multiple pathogen from the same PathogenGroup
• Add monte carlo value as a parameter of inflow concentration function with default value of 1000
• Modify plot for facet plot on PathogenName

ambre 1.0.0

• Changes to the names of input data for QMRA functions; SupplementaryTreatmentName has become InitialProcessName and SupplementaryBarrierName has become SupplementaryProcessName
• Modify output plots of economic analysis
• Add regulation matrix calculation

ambre 0.1.2

• Fixed the broken schema image in the README on the pkgdown site. The image was moved from inst/ to man/figures/ (the canonical location served by GitHub, pkgdown and CRAN) and the path updated accordingly.

ambre 0.1.1

• distribution_repeater() now always returns the documented long data.frame (repeatID, eventID, values). It previously returned a wide matrix when number_of_events == 1, which broke downstream callers (create_random_distribution(), simulate_inflow(), simulate_treatment()) in single-event scenarios.
• distribution_repeater() now fails early with an explicit message when number_of_events is not a single positive integer, instead of erroring deep inside the pipeline.
• Declared the minimum required R version (R >= 4.1.0), needed for the native pipe (|>) used throughout the package.
• Fixed several typos in the function documentation.

ambre 0.1.0

• Initial CRAN submission.
• Quantitative Microbial Risk Assessment (QMRA) engine for water reuse following a multi-barrier approach: pathogen inflow and removal along a treatment train, exposure simulation, and health risk indicators (infection probability, illness probability, DALYs).
• Economic analysis of treatment and reuse scenarios.
• Bundled config_ambre reference database and example input files.
• Vignettes covering getting started, treatment vs. multi-barrier, input files, interpreting risk, economic analysis, exposure scenarios, the Monte-Carlo engine, and the configuration database.