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.

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