Mathematically Aggregating Expert Judgments R package aggreCAT version 1.1.0 The use of structured elicitation to inform decision making has grown dramatically in recent decades, however, judgements from multiple experts must be aggregated into a single estimate. Empirical evidence suggests that mathematical aggregation provides more reliable estimates than enforcing behavioural consensus on group estimates. 'aggreCAT' provides state-of-the-art mathematical aggregation methods for elicitation data including those defined in Hanea, A. et al. (2021) <doi:10.1371/journal.pone.0256919>. The package also provides functions to visualise and evaluate the performance of your aggregated estimates on validation data. Software Depends: R (>= 3.5) Imports: magrittr, GoFKernel, purrr, R2jags, coda, precrec, mathjaxr, cli, VGAM, crayon, dplyr, stats, stringr, tidyr, tibble, ggplot2, insight, DescTools, MLmetrics Suggests: testthat (>= 2.1.0), knitr, rmarkdown, covr, pointblank, janitor, qualtRics, here, readxl, readr, lubridate, forcats, ggforce, ggpubr, ggridges, rjags, tidybayes, tidyverse, usethis, nlme, gt, gtExtras, R.rsp David Wilkinson <david.wilkinson.research@gmail.com> Comprehensive R Archive Network (CRAN) David Wilkinson [aut, cre] (ORCID: <https://orcid.org/0000-0002-9560-6499>), Elliot Gould [aut] (ORCID: <https://orcid.org/0000-0002-6585-538X>), Aaron Willcox [aut] (ORCID: <https://orcid.org/0000-0003-2536-2596>), Charles T. Gray [aut], Rose E. O'Dea [aut] (ORCID: <https://orcid.org/0000-0001-8177-5075>), Rebecca Groenewegen [aut] (ORCID: <https://orcid.org/0000-0001-9177-8536>) MIT + file LICENSE (https://CRAN.R-project.org/package=aggreCAT/LICENSE) 2026-05-04 application/tgz https://CRAN.R-project.org/package=aggreCAT doi:10.32614/CRAN.package.aggreCAT