Featured Model: Comprehensive analysis of enhanced sensitivity model with conservative sampling (adapt_delta=0.99) and smooth continuous predictions. This is now the primary model for all analysis.
View Primary Model Overview →Detailed analysis of enhanced sensitivity model with parameter estimates, variance decomposition, convergence diagnostics, and model recommendations.
View Comprehensive Report →Enhanced sensitivity model fitness time series with conservative sampling. Shows smooth predictions, component breakdown, and reliable uncertainty quantification from adapt_delta=0.99 sampling.
View Enhanced Visualizations →Complete mathematical and computational documentation of the four-fitness state-space model. Includes equations, Stan implementation, Python pipeline, and parameter sensitivity analysis.
View Technical Documentation →Project-specific instructions for AI assistants, including tooling requirements, project structure, and development methodologies.
View HTMLAnalysis of Garmin workout data quality, aggregation methods, and recommendations for modeling. Focuses on strength training data for cross-lagged time-series analysis.
View HTMLComprehensive analysis of enhanced sensitivity model with conservative sampling (adapt_delta=0.99) and smooth continuous predictions. Includes detailed parameter estimates, variance decomposition, and model recommendations.
View Enhanced Analysis →Summary of model and report consolidation focusing on the four-fitness state-space model with baseline fitness equilibrium at 0. Documents the cleanup process and new structure.
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