Provides deterministic tools for auditing whether artificial intelligence systems preserve the numerical, semantic, contextual, temporal, geographic, unit, provenance, revision, transformation, and uncertainty properties of official statistics. Structured reference statistics and machine-generated claims can be compared with non-compensatory critical-error rules, weakest-link and geometric fidelity summaries, provenance graphs, and portable SHA-256 proof bundles. The package also provides bounded connectors for official Eurostat, World Bank, OECD, United Nations SDG, United Kingdom Office for National Statistics, and United States Bureau of Labor Statistics application programming interfaces, plus an extensible HTTPS JSON API registry with session-only API-key support. Prompt perturbation, statistical red-team generation, minimal-pair tests, and starter benchmark data support reproducible evaluation of generative, retrieval-augmented, and agentic statistical systems. An embedded alignment layer maps claim-level controls to relevant activities of the Generic Statistical Business Process Model (GSBPM) 5.2, including Analyse, Disseminate, Evaluate, Quality Management, and Metadata Management. No specific model provider is required.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | digest, jsonlite, stats, utils |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-09-03 |
| DOI: | 10.32614/CRAN.package.statfidelity |
| Author: | Hossein Hassani [aut], Steve MacFeely [aut], Leila Marvian Mashhad [aut, cre] |
| Maintainer: | Leila Marvian Mashhad <leila.marveian at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Citation: | statfidelity citation info |
| Materials: | README, NEWS |
| CRAN checks: | statfidelity results |
| Reference manual: | statfidelity.html , statfidelity.pdf |
| Package source: | statfidelity_0.1.0.tar.gz |
| Windows binaries: | r-devel: statfidelity_0.1.0.zip, r-release: statfidelity_0.1.0.zip, r-oldrel: statfidelity_0.1.0.zip |
| macOS binaries: | r-release (arm64): statfidelity_0.1.0.tgz, r-oldrel (arm64): statfidelity_0.1.0.tgz, r-release (x86_64): statfidelity_0.1.0.tgz, r-oldrel (x86_64): statfidelity_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=statfidelity to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.