heidihelena.r-universe.dev

[heidihelena] vahtian 0.1.0

andersenheidihelena@gmail.com (Heidi Helena Andersén) — Mon, 06 Jul 2026 16:00:22 GMT

Freeze a record set into a content-hashed, provenance-stamped, date-locked corpus; verify reproducibility; and keep a hash-chained, tamper-evident audit trail. The canonical on-disk format and the content hash are byte-identical with the Python package 'vahtian', so frozen corpora and audit ledgers interoperate across the two languages.

[heidihelena] recoverlite 0.2.0

andersenheidihelena@gmail.com (Heidi Helena Andersen) — Sat, 04 Jul 2026 21:37:56 GMT

A prototype implementation of the pre-data recovery test: a standardized simulation protocol for evaluating whether a planned design-analysis pair can recover its target estimand before data collection. Researchers declare the estimand, data-generating assumptions, data strategy, missing-data process, and analysis strategy; the package simulates a crossed scenario grid (null and target effects, each under declared and pessimistically perturbed nuisance assumptions), applies the planned analysis to each simulated dataset, and reports target-null rejection, power, target bias with its exact decomposition into estimator bias and estimand drift, coverage, Type S and Type M errors, precision, and classified model failure, each with Monte Carlo uncertainty and explicit inclusion rules. A versioned threshold profile converts the diagnosands into a PASS/RISK/FAIL verdict - a decision convention, not a validity classification. Built on the 'DeclareDesign' framework.

[heidihelena] forskai 0.1.0

pilot@forskai.com (Heidi Helena Andersén) — Sat, 04 Jul 2026 13:14:13 GMT

Public entry point for ForskAI. Recoverability testing examines whether a planned study can recover the effect it is meant to detect, before data collection begins -- design evidence under stated assumptions, not a guarantee of results. The Design Pilot service runs at . This package currently carries the project's identity and will grow into the thin client for the hosted engine; the recoverability engine itself is not distributed here.

[heidihelena] vahtian.epinet 0.1.0

andersenheidihelena@gmail.com (Heidi Helena Andersen) — Fri, 03 Jul 2026 10:51:32 GMT

An R interface to EpiNet, a transparent toolkit for honestly evaluated outcome models on tabular and graph-shaped data. It wraps the tested Python 'vahtian.epinet' package through 'reticulate', so the algorithms are single-sourced and cannot diverge across languages, and returns calibrated, caveated results: discrimination, calibration, bootstrap intervals, a label-permutation null, and feature importance. A research and education demonstrator, not clinical decision support.