Package: statfidelity
Type: Package
Title: Audit Statistical Fidelity of AI-Mediated Official Statistics
Version: 0.1.0
Authors@R: c(
    person("Hossein", "Hassani", role = "aut"),
    person("Steve", "MacFeely", role = "aut"),
    person("Leila", "Marvian Mashhad",
           email = "leila.marveian@gmail.com",
           role = c("aut", "cre"))
    )
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: digest, jsonlite, stats, utils
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2026-08-20 16:38:12 UTC; marvian
Author: Hossein Hassani [aut],
  Steve MacFeely [aut],
  Leila Marvian Mashhad [aut, cre]
Maintainer: Leila Marvian Mashhad <leila.marveian@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-03 12:10:08 UTC
Built: R 4.6.1; ; 2026-09-03 23:51:14 UTC; windows
