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0.0
IrtRuby is a comprehensive Ruby library for Item Response Theory (IRT) analysis,
commonly used in educational assessment, psychological testing, and survey research.
Features three core IRT models:
• Rasch Model (1PL) - Simple difficulty-only model
• Two-Parameter Model (2PL) - Adds item discrimination
• Three-Parameter Model (3PL) - Includes guessing parameter
Key capabilities:
• Robust gradient ascent optimization with adaptive learning rates
• Flexible missing data strategies (ignore, treat as incorrect/correct)
• Comprehensive performance benchmarking suite
• Memory-efficient implementation with excellent scaling
• Production-ready with extensive test coverage
Perfect for researchers, data scientists, and developers working with
educational assessments, psychological measurements, or any binary response data
where item and person parameters need to be estimated simultaneously.
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