uSDT: Hierarchical Signal Detection Theory Models for Unconscious Processing

Fits hierarchical signal detection theory (SDT) models to paired awareness and influence measures in research on unconscious processing. Estimates mean sensitivities, their latent correlation and influence sensitivity at zero awareness sensitivity, using maximum likelihood with 'lme4' or Bayesian inference with 'brms'. Provides Bayes factors, equivalence tests, reliability estimates and study planning for power, precision and cost.

Version:	0.2.0
Depends:	R (≥ 4.1)
Imports:	grid, parallel, stats, utils, lme4, ggplot2, gtable, rlang, brms, posterior, logspline, callr, cli, withr (≥ 3.0.3)
Suggests:	testthat (≥ 3.1.7), knitr, rmarkdown, BH, RcppEigen, cmdstanr
Published:	2026-11-05
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
Copyright:	see file COPYRIGHTS
URL:	https://github.com/RicardoReySaez/uSDT, https://ricardoreysaez.github.io/uSDT/
NeedsCompilation:	no
SystemRequirements:	C++17 compiler (for Bayesian model compilation)
Additional_repositories:	https://stan-dev.r-universe.dev
Materials:	README, NEWS
CRAN checks:	uSDT results

Documentation:

Reference manual:	uSDT.html , uSDT.pdf
Vignettes:	Bayesian estimation with uSDT (source) Planning a uSDT study (source, R code) Fitting a hierarchical SDT model (source, R code)

Downloads:

Package source:	uSDT_0.2.0.tar.gz
Windows binaries:	r-devel: uSDT_0.1.0.zip, r-release: uSDT_0.1.0.zip, r-oldrel: uSDT_0.1.0.zip
macOS binaries:	r-release (arm64): uSDT_0.2.0.tgz, r-oldrel (arm64): uSDT_0.2.0.tgz, r-release (x86_64): uSDT_0.2.0.tgz, r-oldrel (x86_64): uSDT_0.2.0.tgz
Old sources:	uSDT archive

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