Fit the Meta-D' Model of Confidence Ratings Using 'brms' R package hmetad version 0.1.0 Implementation of Bayesian regressions over the meta-d' model of psychological data from two alternative forced choice tasks with ordinal confidence ratings. For more information, see Maniscalco & Lau (2012) <doi:10.1016/j.concog.2011.09.021>. The package is a front-end to the 'brms' package, which facilitates a wide range of regression designs, as well as tools for efficiently extracting posterior estimates, plotting, and significance testing. Software Depends: R (>= 4.2.0), brms (>= 2.23.0) Imports: abind (>= 1.4.8), dplyr (>= 1.2.0), glue (>= 1.8.0), posterior (>= 1.6.1), rlang (>= 1.1.7), stats, stringr (>= 1.6.0), tidybayes (>= 3.0.7), tidyr (>= 1.3.2) Suggests: colorspace, knitr, purrr (>= 1.2.1), rmarkdown, testthat (>= 3.0.0), tidyverse (>= 2.0.0) Kevin O'Neill <kevin.o'neill@ucl.ac.uk> Comprehensive R Archive Network (CRAN) Kevin O'Neill [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-7401-9802>), Stephen Fleming [aut, cph] (ORCID: <https://orcid.org/0000-0003-0233-4891>) GPL (>= 3) 2026-03-16 application/tgz https://CRAN.R-project.org/package=hmetad doi:10.32614/CRAN.package.hmetad