User Guide
==========

This comprehensive user guide covers everything you need to know about using Causal Agent effectively in your research and analysis workflows.

Whether you're conducting a single analysis or processing multiple datasets, this guide provides detailed instructions, best practices, and configuration options to help you get the most out of Causal Agent.

.. toctree::
   :maxdepth: 2
   :caption: User Guide

   basic_usage
   advanced_usage
   batch_processing
   configuration

Guide Overview
--------------

**Basic Usage**
   Learn the fundamental workflows for conducting causal analysis with Causal Agent, including data preparation, method selection, and result interpretation.

**Advanced Usage**
   Explore advanced features like custom method selection, assumption validation, and integration with existing analysis pipelines.

**Batch Processing**
   Process multiple datasets efficiently with automated workflows and parallel processing capabilities.

**Configuration**
   Customize Causal Agent behavior, configure LLM providers, and set up your analysis environment for optimal performance.

Common Workflows
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* **Single Dataset Analysis**: Standard workflow for analyzing one dataset
* **Comparative Analysis**: Comparing results across different methods
* **Sensitivity Analysis**: Testing robustness of causal conclusions
* **Production Integration**: Embedding Causal Agent in automated analysis pipelines

Best Practices
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* Always validate your data quality before analysis
* Understand the assumptions of your chosen method
* Use diagnostic tests to validate causal identification
* Document your analysis decisions for reproducibility