|
| | 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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| |
| | eigen_compat.h |
| | Eigen compatibility layer for version differences.
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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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| |
1.9.8