Overview | 1) Generating Synthetic Structures and Noise | Function usage | Example usage | Preview all structures | Polynomial features (type = "polynomial") | noise_gen(): noise distributions | Combining structure + noise | Return value | 2) Finding Projection Pursuit Index Mean | Example Usage | 3) Comparing Index Scale on Structured vs. Noisy Data | Function Usage | Boxplots: structured vs noise per variable pair | 4) Estimating a Noise Threshold for Projection Pursuit Indices | 5) Sample-Size Effects for Projection Pursuit Indices under Gaussian Noise | Plot the 95th-percentile

Overview | Data Generators | 1) compare_smoothing() | Function Usage | Inputs | Example Usage | Interpretation | Return value | 2) squint_angle_estimate() | Function usage | indexF (what kind of structure?) | cutoff (when do we call it visible?) | structure_plane (where is the best view?) | n and step_size | 3) get_trace() | 4) profile_rotation() | 5) time_sequence()

About | Installation | Purpose | Example | Usage