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Consider using a bootstrap method?

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
javascript
Domain
data

Research direction

No files, tests, or entry points are named. Start by locating the Student's T-Distribution implementation and its sample-size calculations, then determine what bootstrap method and confidence measure are intended. Done should mean a defined bootstrap-based calculation, documented behavior, and coverage for representative samples.

Written by the indexing model from the issue text.

Description

enhancement

Bootstrapping is a common way to squeeze signal out of samples of data. It'll increase computation complexity but could offer us more confidence.

Dominant language
JavaScript
Stars
14
Forks
3
No merged PRs in 30d

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