- Configuration parameters
- Rolling window size
- Maximum lag
- Significance levels
- Correlation thresholds
- Visualization settings
- Output format preferences
- Parent-child definitions
- Classification thresholds
- Confidence scoring parameters
- CCF analysis settings
- Method comparison logic
- Base correlation algorithms
- Statistical testing methods
- Data structure handling
- Core analysis pipeline
- Handles missing values automatically
- Supports various time series lengths
- Provides both pair-wise and full dataset analysis
- Includes robust error handling
- Generates reproducible results
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Data Structure
- Continuous time series
- Ordered intervals
- Consistent column names
- Numeric values
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Parent-Child Relationships
- Explicit mapping required
- Valid pair generation
- Automatic exclusion handling
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Statistical Validity
- Minimum sample size requirements
- Significance testing
- Confidence scoring
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Data Preparation
- Clean and validate input data
- Check for missing values
- Ensure proper formatting
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Analysis Configuration
- Set appropriate thresholds
- Define parent-child relationships
- Configure visualization preferences
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Results Interpretation
- Consider confidence scores
- Review multiple correlation methods
- Examine lag patterns
- Validate relationship classifications