hmetad: Fit the Meta-D' Model of Confidence Ratings Using 'brms'

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.

Version: 0.1.0
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)
Published: 2026-03-16
DOI: 10.32614/CRAN.package.hmetad (may not be active yet)
Author: Kevin O'Neill ORCID iD [aut, cre, cph], Stephen Fleming ORCID iD [aut, cph]
Maintainer: Kevin O'Neill <kevin.o'neill at ucl.ac.uk>
BugReports: https://github.com/metacoglab/hmetad/issues
License: GPL (≥ 3)
URL: https://metacoglab.github.io/hmetad/, https://github.com/metacoglab/hmetad
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: hmetad results

Documentation:

Reference manual: hmetad.html , hmetad.pdf
Vignettes: Using alternative signal distributions with the meta-d' model (source, R code)
Estimating trial-level effects (source)
History of the hmetad package (source, R code)
Fitting the meta-d' model (source, R code)
Parameterization of the meta-d' model (source, R code)

Downloads:

Package source: hmetad_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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