uSDT: Hierarchical Signal Detection Theory Models for Unconscious Processing

Fits hierarchical signal detection theory (SDT) models to paired direct and indirect measures, the design used to test for unconscious processing. Continuous indirect measures (typically response times) are dichotomized with the within-subject median split of Meyen et al. (2022) <doi:10.1037/xge0001065> so that both tasks are placed on a common sensitivity scale. The package estimates a binomial probit mixed model in which the two sensitivities are correlated random effects, and tests the three hypotheses of interest: the group-level difference between sensitivities, their latent correlation, and the latent regression of the indirect on the direct measure, whose intercept is the test for unconscious processing. Frequentist estimation uses 'lme4'.

Version:	0.1.0
Depends:	R (≥ 4.1)
Imports:	stats, utils, lme4, ggplot2, rlang
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-09-29
DOI:	10.32614/CRAN.package.uSDT
Author:	Ricardo Rey-Sáez [aut, cre], Francisco Garre-Frutos [aut], Alicia Franco-Martínez [aut], Miguel Vadillo [aut]
Maintainer:	Ricardo Rey-Sáez <ricardoreysaez95 at gmail.com>
BugReports:	https://github.com/RicardoReySaez/uSDT/issues
License:	GPL-3
URL:	https://github.com/RicardoReySaez/uSDT, https://ricardoreysaez.github.io/uSDT/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	uSDT results

Documentation:

Reference manual:	uSDT.html , uSDT.pdf
Vignettes:	Fitting a hierarchical SDT model (source, R code)

Downloads:

Package source:	uSDT_0.1.0.tar.gz
Windows binaries:	r-devel: uSDT_0.1.0.zip, r-release: not available, r-oldrel: uSDT_0.1.0.zip
macOS binaries:	r-release (arm64): uSDT_0.1.0.tgz, r-oldrel (arm64): uSDT_0.1.0.tgz, r-release (x86_64): uSDT_0.1.0.tgz, r-oldrel (x86_64): uSDT_0.1.0.tgz

Linking:

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