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gp3bayes: Contract-First Bayesian Workflows for Hierarchical Behavioural Data

Provides transparent, contract-first infrastructure for Bayesian analysis of repeated-measures and hierarchical behavioural data. It supports approved Bernoulli-logit and positive lognormal duration workflows with readiness audits, deterministic simulation, explicit preparation, inspectable priors, prior and posterior predictive checks, restricted optional fitting through 'brms' and 'rstan', sampling diagnostics, prior sensitivity, parameter recovery, and conservative reporting. Core contracts and prior checks remain backend-independent.

Version: 0.1.1
Imports: withr
Suggests: bayesplot, brms, knitr, posterior, rmarkdown, rstan, testthat (≥ 3.0.0)
Published: 2026-08-09
DOI: 10.32614/CRAN.package.gp3bayes (may not be active yet)
Author: Stefanos Balaskas ORCID iD [aut, cre, cph]
Maintainer: Stefanos Balaskas <s.balaskas at ac.upatras.gr>
BugReports: https://github.com/stefanosbalaskas/gp3bayes/issues
License: MIT + file LICENSE
URL: https://stefanosbalaskas.github.io/gp3bayes/, https://github.com/stefanosbalaskas/gp3bayes
NeedsCompilation: no
Citation: gp3bayes citation info
Materials: README, NEWS
CRAN checks: gp3bayes results

Documentation:

Reference manual: gp3bayes.html , gp3bayes.pdf
Vignettes: End-to-End Hierarchical Binary Workflow (source, R code)
End-to-End Hierarchical Lognormal Duration Workflow (source, R code)
Optional Bayesian Backend Installation (source, R code)
Sampling Diagnostics and Conservative Decisions (source, R code)
Prior Sensitivity and Simulation-Based Recovery (source, R code)

Downloads:

Package source: gp3bayes_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: gp3bayes_0.1.1.zip
macOS binaries: r-release (arm64): gp3bayes_0.1.1.tgz, r-oldrel (arm64): gp3bayes_0.1.1.tgz, r-release (x86_64): gp3bayes_0.1.1.tgz, r-oldrel (x86_64): gp3bayes_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gp3bayes to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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