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|  | clusters.h | 
|  | The declaration of the Clusters class. 
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|  | constants.h | 
|  | Definitions of constants used in libslope. 
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|  | 
|  | cv.h | 
|  | Cross-validation functionality for SLOPE models. 
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|  | diagnostics.h | 
|  | Diagnostics for SLOPE optimization. 
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|  | estimate_alpha.h | 
|  | Functions for estimating noise level and regularization parameter alpha. 
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|  | 
|  | folds.h | 
|  | Cross-validation fold management for SLOPE models. 
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|  | 
|  | jit_normalization.h | 
|  | Enums to control predictor standardization behavior. 
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|  | 
|  | logger.h | 
|  | Thread-safe warning logging facility for the slope library. 
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|  | 
|  | math.h | 
|  | Mathematical support functions for the slope package. 
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|  | 
|  | normalize.h | 
|  | Functions to normalize the design matrix and rescale coefficients in case the design was normalized. 
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|  | 
|  | ols.h | 
|  | Ordinary Least Squares (OLS) regression functionality. 
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|  | 
|  | regularization_sequence.h | 
|  | Functions for generating regularization sequences for SLOPE. 
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|  | 
|  | score.h | 
|  | Scoring metrics for model evaluation. 
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|  | 
|  | screening.h | 
|  | Screening rules for SLOPE regression optimization. 
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|  | 
|  | slope.h | 
|  | SLOPE (Sorted L-One Penalized Estimation) optimization. 
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|  | 
|  | slope_fit.h | 
|  | SLOPE (Sorted L-One Penalized Estimation) fitting results. 
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|  | 
|  | slope_path.h | 
|  | Defines the SlopePath class for storing and accessing SLOPE regression solution paths. 
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|  | 
|  | sorted_l1_norm.h | 
|  | The declaration of the SortedL1Norm class. 
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|  | 
|  | threads.h | 
|  | Thread management for parallel computations. 
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|  | timer.h | 
|  | Simple high-resolution timer class for performance measurements. 
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|  | 
|  | utils.h | 
|  | Various utility functions. 
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|  |