tda-statistical-modeling-toolkit
CommunityEnhance TDL statistical analysis with advanced modeling tools.
Authorstephendor
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for sophisticated statistical modeling in TDL, providing tools for fitting, reviewing, and validating various statistical models.
Core Features & Use Cases
- Statistical Model Fitting: Supports fitting non-topological statistical models such as GLMs, OLS/logit/probit, survival models, etc.
- Robustness Checks: Conducts Bayesian robustness checks and simulation-based sensitivity analyses.
- Power Analysis: Assists in power analysis for model validation.
- Use Case: For a research paper in TDL, use this Skill to fit a logistic regression model to a sample, perform robustness checks, and analyze power.
Quick Start
Use the tda-statistical-modeling-toolkit skill to fit a logistic regression model to the provided data and assess its robustness.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: tda-statistical-modeling-toolkit Download link: https://github.com/stephendor/TDL/archive/main.zip#tda-statistical-modeling-toolkit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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