regime-detection-validation

Official

Validate economic regimes with precision, enhancing clustering accuracy.

AuthorCompSci-Squad
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the need for economic and structural validation of detected regimes in unsupervised macroeconomic panel data, ensuring accuracy and reliability in regime detection.

Core Features & Use Cases

  • Regime Validation: Consolidates validation of detected regimes for external economic and structural analysis.
  • Density Metrics: Utilizes DBCV and silhouette metrics for internal cluster evaluation.
  • Economic Alignment: Aligns detected regimes with NBER recessions and Bai-Perron structural breaks.
  • Interpretability: Provides conditional moments, transition matrices, and regime durations for deeper analysis.
  • Use Case: For macroeconomists working with unsupervised regime detection models, this Skill can be used to validate and interpret the results of regime clustering algorithms.

Quick Start

Run the 'regime-detection-validation' skill to validate and interpret economic regimes in your panel data.

Dependency Matrix

Required Modules

pythonstatsmodelshdbscanscipyfredapi

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: regime-detection-validation
Download link: https://github.com/CompSci-Squad/tcc_ai/archive/main.zip#regime-detection-validation

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

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.