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scientific-missing-data-analysis

Community

Diagnose and impute missing data efficiently.

Data & Analytics#data-quality#imputation#statistical-analysis#missing-data#mice#missing-patterns
Authornahisaho
Version1.0.0
Installs0

System Documentation

What problem does it solve?

欠損データの診断・補完・感度分析を通じて、偏りのない統計推論を実現します。

Core Features & Use Cases

  • MCAR/MAR/MNAR の機構を判定し、データの欠損性を理解します。
  • MICE、KNN、MissForest、VAE/GAIN などの手法による欠損値の補完と Rubin's Rules による統合をサポートします。
  • 欠損パターンの可視化や、パイプライン内での再現性の高い分析ワークフローを提供します。

Quick Start

Run the missing data analysis workflow on your dataset to diagnose patterns, apply imputations, and compare results.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: scientific-missing-data-analysis
Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-missing-data-analysis

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