Changelog¶

All notable changes to pyFIES are documented in this file. The format follows Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]¶

Documentation project URL on PyPI now points to the published docs site (https://nejohnson2.github.io/pyFIES/) instead of the GitHub README anchor it was originally seeded with.

First public release.

Initial scaffold: package layout, Apache-2.0 license, CI config, Makefile.
Numerical core: log-stable elementary symmetric functions for CML.
Weighted Conditional Maximum Likelihood estimator for the dichotomous Rasch model.
Post-hoc maximum-likelihood estimation of person parameters per raw score.
Equating to a reference standard via iterative scale-and-shift (pyfies.core.equating.equate).
Probabilistic prevalence assignment along the latent FI trait (pyfies.core.prevalence.assign_prevalence).
RaschModel.fit() / .equate() / .prevalence() end-to-end pipeline for the SDG 2.1.2 indicator.
FAO 2014–2016 global FIES standard as a versioned constant.
R fixture-generation script and parity tests verifying numerical agreement with RM.weights on all four FAO sample countries:
β within 2e-4
θ within 1e-2
equating scale & shift within 1e-3
common-items mask exact match
prevalence rates within 0.5 percentage points