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pycse

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Regression with CI bounds, made simple

Data & Analytics#regression#scipy#pycse#prediction intervals#confidence intervals
Authorjkitchin
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides wrappers around SciPy for regression tasks with automatic confidence intervals and prediction bounds, dramatically reducing boilerplate and error-prone math.

Core Features & Use Cases

  • Automatic confidence intervals for linear, nonlinear, and polynomial regression
  • Prediction intervals with bound estimates
  • Caching for expensive computations and Google Sheets integration
  • Consistent API for regress, nlinfit, polyfit, and more

Quick Start

Use pycse.nlinfit to fit a nonlinear model and obtain confidence intervals with a single call.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

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Please help me install this Skill:
Name: pycse
Download link: https://github.com/jkitchin/skillz/archive/main.zip#pycse

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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