biostatistics-workbench
CommunityRobust ecological stats with GLMs and diagnostics.
Authorbaratadiego
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Guides the agent through the selection, execution, and interpretation of statistical methods appropriate for ecological data. Covers classical tests, generalised linear models, mixed models, assumption diagnostics, effect size estimation, and model selection.
Core Features & Use Cases
- GLM / GLMM fitting and model comparison for ecological data
- Assumption diagnostics (normality, homoscedasticity, independence) and diagnostic reporting
- Effect size estimation with confidence intervals and marginal/conditional R² for mixed models
- Model selection using AIC/AICc/BIC and model averaging where appropriate
- Use Case: Analyze species richness or occupancy data and compare alternative models to identify the strongest ecological relationships
Quick Start
Provide a ready-to-run GLM/GLMM workflow for ecological data and produce a concise results report.
Dependency Matrix
Required Modules
numpypandasstatsmodelsmatplotlibscipy
Components
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: biostatistics-workbench Download link: https://github.com/baratadiego/ecological-agent-skills/archive/main.zip#biostatistics-workbench Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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