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
Author:	Kevin O'Neill [aut, cre, cph], Stephen Fleming [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: hmetad_0.1.0.zip, r-release: hmetad_0.1.0.zip, r-oldrel: hmetad_0.1.0.zip
macOS binaries:	r-release (arm64): hmetad_0.1.0.tgz, r-oldrel (arm64): hmetad_0.1.0.tgz, r-release (x86_64): hmetad_0.1.0.tgz, r-oldrel (x86_64): hmetad_0.1.0.tgz

Linking:

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