Python-native explanation articles¶
These articles explain design choices that emerged during the Python development line. They are intentionally separate from the 26 frozen R vignette companions: they do not alter the 406-export parity contract and are not presented as ports of R documentation.
Architecture
Research pipeline blueprint
Why ingestion, measurement evidence, processing, alignment, summarisation, modelling, and reporting are kept as explicit stages.
MeasurementMeasurement before modelling
Why timebase, signal quality, source identity, and design support constrain what a statistical model can mean.
StatisticsChoosing a location–scale model
How random intercepts, heavy tails, location slopes, scale slopes, joint slopes, and crossed effects answer different questions.
MultimodalReproducible multimodal studies
A provenance-first architecture for clocks, anchors, event windows, signal processing, and evidence bundles.
How these differ from tutorials and reference pages¶
- Tutorials tell you what to do to achieve a successful learning outcome.
- How-to guides help you complete a concrete research task.
- API reference describes exact software behavior and signatures.
- These explanation articles connect the scientific and architectural reasoning behind those choices.
For the original frozen R-companion inventory, return to Articles and tutorials.