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gp3bayes 0.1.1

• Addressed CRAN feedback by replacing the non-executable fitting example with a guarded \donttest{} example, enforcing a two-core ceiling, requiring explicit report-output paths, using temporary paths in vignettes, and removing direct modification of the global environment.

• Prepared the first CRAN submission candidate.

• Added Zenodo DOI documentation and current release-status wording.

• Added explicit copyright-holder metadata for the initial CRAN submission.

gp3bayes 0.1.0

• Created the independent gp3bayes package scaffold.
• Defined the initial scope as contract-first Bayesian workflows for hierarchical behavioural data.
• Restricted initial development to hierarchical Bernoulli-logit and hierarchical lognormal-duration model families.
• Added package-level documentation and explicit interpretation boundaries.
• Added the initial deterministic scope test using testthat edition 3.
• Added the MIT licence.
• Added standard GitHub Actions workflows for cross-platform R CMD check and pkgdown deployment.
• Added canonical repository, issue-tracker, and pkgdown website metadata.
• Added create_model_contract() for the two approved initial model families with neutral column mappings and explicit methodological specifications.
• Added a concise gp3bayes_model_contract print method and deterministic validation tests.
• Added audit_model_readiness() for backend-independent assessment of outcome validity, declared columns, missingness, repeated measurements, item and trial structure, predictors, interactions, time terms, and requested participant-level random slopes.
• Added structured gp3bayes_readiness_audit results with explicit pass, warning, and failure statuses and a concise print method.
• Added build_model_formula() for deterministic, backend-independent construction of approved fixed-effects, interaction, participant, item, time, and optional participant-level random-slope structures.
• Added create_prior_specification() and validate_prior_specification() for explicit binary-logit and lognormal-duration prior records without creating executable backend objects.
• Added create_model_specification() to combine a model contract, successful readiness audit, approved formula, and validated priors into one inspectable backend-independent specification.
• Added concise print methods and deterministic validation tests for formulas, priors, compatibility checks, and complete specifications.
• Added simulate_hierarchical_binary_data() for deterministic hierarchical Bernoulli-logit simulation with participant effects, optional crossed item effects, optional participant condition slopes, controlled imbalance, and a stored true-parameter record.
• Added prepare_hierarchical_binary_data() for explicit binary-outcome mapping, condition coding, recorded predictor scaling, missing-data decisions, readiness auditing, and fixed-effects matrix construction.
• Added specify_binary_model() to combine prepared data with the approved binary contract, restricted hierarchical formula, and validated backend-independent prior specification.
• Added check_binary_prior_predictive() for deterministic simulation of family-specific prior predictions and structured plausibility checks without fitting a model or requiring a Bayesian backend.
• Added concise print methods, generated documentation, and 89 focused tests for the backend-independent binary workflow foundation.
• Added repository and installed-package citation metadata through CITATION.cff and inst/CITATION.
• Refined the package description to match the currently implemented backend-independent contract, readiness, simulation, preparation, specification, and prior-predictive functionality.
• Added restricted binary model translation from approved package specifications to brms Bernoulli-logit formulas and priors.
• Added optional full-MCMC fitting through the fixed brms and rstan sampling route without unrestricted formulas or backend arguments.
• Added conservative fit metadata that records sampling settings while explicitly withholding convergence and posterior-adequacy claims.
• Added conservative binary posterior diagnostics covering R-hat, bulk and tail ESS, divergences, maximum-treedepth saturation, and chain-level energy diagnostics.
• Added posterior summaries, binary posterior predictive checks, prior-scale sensitivity, simulation-based recovery, diagnostic plots, and structured Markdown model reports.
• Diagnostic, predictive, sensitivity, and recovery statuses never create automatic convergence, adequacy, robustness, or validation claims.
• Added the complete hierarchical lognormal duration workflow for strictly positive finite uncensored outcomes.
• Added deterministic duration simulation, explicit unit conversion and preparation, model specification, prior predictive checks, restricted brms translation, and full MCMC fitting through rstan.
• Zero, negative, censored, truncated, shifted, survival, Gamma, Weibull, and mixture outcomes remain outside the approved duration contract.
• Added conservative duration posterior diagnostics, posterior summaries with median-ratio interpretation, posterior predictive checks, prior-scale sensitivity, simulation-based recovery, and structured Markdown reports.
• Duration validation statuses remain separate from automatic convergence, adequacy, robustness, causal, or substantive claims.
• Added integrated end-to-end binary and duration vignettes.
• Added dedicated articles for sampling diagnostics, prior sensitivity and recovery, and optional backend installation.
• Added a repository-only audit covering exports, Rd aliases, pkgdown reference topics, articles, built pages, and optional dependencies.
• Aligned DESCRIPTION, citation metadata, README, package documentation, and the curated pkgdown reference and article indices with the complete scope.

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.