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Changelog

Source: NEWS.md

metasurvey.core 0.3.1 (development)

  • All errors and warnings are now classed conditions: every condition carries a domain subclass (e.g. metasurvey_error_step, metasurvey_error_recipe, metasurvey_error_backend_unavailable) plus the base class metasurvey_error / metasurvey_warning, so they can be handled with tryCatch() without matching message text. See the new ?metasurvey_conditions topic for the full list. Messages are unchanged, but code that matched on condition classes such as rlang_error may need review.
  • Removed the last remote-credential residue from core: the unused internal get_user() helper and with it any reading of the metasurvey.api_key option. Credentials and API access belong to provider packages (e.g. metasurvey.explorer.backend); core reaches remote backends only through the injected options(metasurvey.backend_provider = ...) hook, and selecting the "api" backend without a provider now signals a metasurvey_error_backend_unavailable error that can be handled with tryCatch().
  • New ?metasurvey.core-options topic documenting every metasurvey.* option with its default and effect.
  • Examples: get_recipe(), load_panel_survey() and extract_surveys() now ship runnable offline examples; the remaining \dontrun{} blocks explain why they cannot run offline.

metasurvey.core 0.3.0

Initial release of the local processing engine of the metasurvey ecosystem, extracted from the original monolith (archived as metasurvey-legacy) following the modularization suggested during the rOpenSci review. The version number is aligned with the metasurvey meta-package.

  • Core engine: Survey, RotativePanelSurvey and PoolSurvey R6 classes, the lazy step pipeline (step_compute(), step_recode(), step_rename(), step_remove(), step_join(), step_filter(), bake_steps()), recipes with automatic documentation and validation, and estimation workflows built on the survey package (means, totals, ratios and domain estimation with CV-based quality labels).
  • Rotating panels with implantation and follow-up waves, pooled estimation, and bootstrap replicate weights via add_replicate().
  • Local (JSON-backed) recipe and workflow registries. The remote ("api") backend is provided through an injectable hook (options(metasurvey.backend_provider = ...)), registered by the companion package metasurvey.explorer.backend; core itself has no network, Shiny, or STATA dependencies.
  • 13 bilingual vignettes (English and Spanish), including an ECH case study that runs offline on a bundled microdata sample and reproducible examples for seven international household surveys.
  • rOpenSci-ready packaging: README, CONTRIBUTING, Code of Conduct, GPL-3 license files, codemeta.json, pkgdown site, and CI (R CMD check, pkgcheck, coverage, pre-commit).