https://metacoglab.r-universe.devRecent package updates in metacoglabR-universehttps://github.com/metacoglab.pnghttps://metacoglab.r-universe.devFri, 15 May 2026 15:26:05 GMTkevin.oneill@ucl.ac.uk (Kevin ONeill)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.https://github.com/r-universe/metacoglab/actions/runs/25928594647Fri, 15 May 2026 15:26:05 GMThmetad0.1.2successhttps://metacoglab.r-universe.devhttps://github.com/metacoglab/hmetadcategorical.Rmdcategorical.htmlEstimating trial-level effects2026-02-20 17:07:332026-05-15 15:26:05hmetad.Rmdhmetad.htmlFitting the meta-d' model2026-02-20 17:07:332026-05-15 15:26:05history.Rmdhistory.htmlHistory of the hmetad package2026-02-20 17:07:332026-04-10 19:47:48parameterization.Rmdparameterization.htmlParameterization of the meta-d' model2026-02-10 15:41:492026-04-10 19:47:48alternative_distributions.Rmdalternative_distributions.htmlUsing alternative signal distributions with the meta-d' model2026-02-10 09:48:212026-05-15 15:26:05