The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

AI4OfficialStats 0.2.0

CRAN portability fixes

• Fixed natural-language parsing so age ranges such as 15-24 are excluded without discarding a later statistical value such as 20.5.
• Converted non-ASCII characters in R source code to portable Unicode escape sequences.
• Added source-build packaging metadata for CRAN checks.

Search-first claim verification

• Added classify_stat_claim() for deterministic extraction of domain, indicator, geography, year/latest-time intent, value, unit, and explicitly named source from natural-language statistical statements, including Persian digits and common Persian statistical terms.
• Added suggest_stat_providers() and search_claim_evidence() to route parsed claims to appropriate searchable official-statistics catalogues.
• Added verify_claim() as the high-level search-first verification interface. It can automatically search/fetch official evidence or verify against supplied local evidence. Matching uses indicator, geography, time, unit, and aggregate-dimension signals rather than numeric equality alone.
• verify_claim() now treats source attribution as optional: providers = "auto" selects suitable automatic-verification sources when none is named, while a source explicitly named in the claim is respected by default. Added providers = "all" for separate multi-source verification and source-selection metadata in printed results.
• Claims no longer need to specify a reference year. When no year or explicit latest-time phrase is present, verify_claim() uses the latest available matching official observation and records that the time choice was inferred; printed results disclose both the automatic time policy and the resolved official year.
• Added verify_text() for multi-claim paragraphs.
• Added country-name/ISO-3 resolution for 249 ISO countries and a Persian alias layer for commonly used country names.
• Added magnitude-aware parsing (thousand, million, billion, trillion) and precision-aware numeric tolerances.
• Existing 0.1.0 constructors, audits, and provider connectors remain available alongside the new Easy Mode and generic-provider workflows.
• Added Eurostat Catalogue API discovery so explicitly attributed Eurostat claims can be searched and fetched automatically through verify_claim().
• official_stat_providers() now distinguishes direct fetch, catalogue search, and full automatic-verification capability instead of implying that every listed provider supports the same workflow.

Easier first-use workflow

• Adds audit_stats() as a one-call beginner-facing wrapper over the existing explicit stat_reference(), stat_claim(), and audit_stat_ai() workflow.
• Adds read_official_stats() for ordinary data frames, local files, and HTTP(S) URLs without requiring the package’s canonical provider schema in advance.
• Adds detect_stat_schema() with automatic recognition of common English and Persian statistical field names.
• Adds Persian/Arabic digit normalization and common Persian unit recognition, including percent and person-count labels.
• Adds as_stat_claim() for structured rows, named lists, numeric values, and simple plain-text statistical claims.
• Extends as_stat_reference() so ordinary data frames can be converted using automatic or explicit mappings, with clearer missing-field diagnostics.

Universal provider layer

• Adds register_official_provider() for session-local generic provider profiles. Profiles can store reusable column mappings and conservative host patterns without requiring a dedicated package release for every NSO, ministry, central bank, or official organisation.
• Adds detect_stat_provider() and generic file/URL importing for arbitrary official providers.
• official_stat_providers() now advertises generic-import support and includes profiles for the Statistical Center of Iran, Central Bank of the Islamic Republic of Iran, and Iran Ministry of Health and Medical Education.
• Excel import is available through the suggested readxl package; CSV, TSV, TXT, JSON, RDS, and supported ZIP contents use existing/base dependencies.

WHO support

• Adds who_odata_url(), search_who(), and fetch_who() for World Health Organization indicator metadata and bounded OData retrieval.
• Adds WHO to search_official_stats() and the built-in provider registry.
• The WHO OData base URL is configurable through options(AI4OfficialStats.who_base_url = ...) or base_url, allowing users to move from the legacy GHO OData endpoint to the World Health Data Hub OData implementation as WHO completes its API transition.

Compatibility

• Existing 0.1.0 constructors, audits, proof bundles, provider connectors, benchmark tools, and GSBPM alignment functions remain available.
• New convenience functions are additive; the explicit advanced API remains the reproducibility-oriented path for users who want complete control.

AI4OfficialStats 0.1.0

Release scope

• Provides a ten-dimensional statistical-fidelity audit covering semantic, numerical, temporal, geographic, unit, contextual, provenance, revision, transformation, and uncertainty fidelity.
• Provides geometric and weakest-link summaries together with non-compensatory critical-error rules and PASS/WARN/FAIL certification logic.
• Provides provenance graphs, revision handling, portable SHA-256 proof bundles, batch auditing, prompt perturbation, statistical red-team generation, minimal-pair tests, benchmark utilities, and model-stability tools.
• Provides bounded interfaces for Eurostat, World Bank, OECD, UNSD SDG, UK ONS, U.S. BLS, and low-level IMF SDMX URL construction, together with an extensible HTTPS JSON API registry.
• Provides gsbpm52_map(), gsbpm_align(), and gsbpm_quality_report() for explicit alignment with relevant GSBPM 5.2 Analyse, Disseminate, Evaluate, Quality Management, and Metadata Management activities.
• Includes offline fixtures and regression tests for provider parsing, audit behaviour, proof integrity, and GSBPM alignment.

Scope and compatibility

• GSBPM alignment is offline and deterministic and introduces no additional network dependency.
• The package supports relevant GSBPM 5.2 activities but does not claim to implement or certify the complete GSBPM statistical production process.

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.
Health stats visible at Monitor.