Proportion and Bounded Response Data

Use this page as a concept guide for bounded or proportion-like outcomes in the current Regression slice, while keeping the current support boundary explicit.

What this method is

This page is a concept guide for outcomes that look bounded, proportion-like, or otherwise uncomfortable for a simple OLS reading.

The current repo shows real bounded-response detection and policy handling. What it does not yet show, in one clean public page, is a complete end-to-end catalog of supported specialized models for every bounded-response case.

When to use or avoid

Use this page when your outcome does not behave like an unrestricted continuous variable.

  • Use it when values cluster near natural limits such as 0 and 1.
  • Use it when percentages, fractions, or other bounded measures make a simple linear interpretation less comfortable.
  • Use it when the current Regression slice is warning that an ordinary regression path may need more caution.

Avoid reading this page as a promise that every bounded-response model is already exposed as a current end-to-end public feature.

  • Do not assume this page means a dedicated specialized model is always available now.
  • Do not use it to override Proportion Data OLS Prevention without reviewing the current policy choice.

Required inputs

The strongest current implementation evidence is not one dedicated public model input contract. Instead, the current slice relies on:

  • outcome columns whose values look bounded or proportion-like
  • dataset profile and value-shape information
  • policy and guard state that can influence how the result is treated later

That means the most accurate public framing is still concept-and-guard guidance rather than a fixed method API tutorial.

Outputs

The clearest current outputs are policy-oriented rather than one canonical model result.

  • bounded-response candidate detection
  • user-facing policy choices in guard flows
  • export-facing consequences when the outcome remains unresolved for claim-bearing use

This page should not promise one standard inferential output bundle for every bounded-response scenario.

No dedicated bounded-response figure family was confirmed in this pass. For the current Regression slice, use nearby figure pages cautiously:

Interpretation notes

  • The current product can help surface bounded-response risk, but that is not the same as a complete specialized-model recommendation engine.
  • Detection uses heuristics, so users may still need to correct or confirm the intended response policy.
  • Stronger method claims should wait until the specialized-model branch is documented more explicitly.

Limits

  • This page is narrower than its title may suggest.
  • It does not claim that every bounded-response method is currently ready as a public documented path.
  • It is strongest as a concept guide tied to current guard behavior.

TODO (Phase02+)

  • Confirm implementation scope before expanding this page.