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| clusters.cpp |
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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.cpp |
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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.cpp |
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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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| kkt_check.cpp |
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| kkt_check.h |
| Karush-Kuhn-Tucker (KKT) optimality condition checking for SLOPE regression.
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| logger.cpp |
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| logger.h |
| Thread-safe warning logging facility for the slope library.
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| math.cpp |
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| math.h |
| Mathematical support functions for the slope package.
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| normalize.cpp |
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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.cpp |
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| ols.h |
| Ordinary Least Squares (OLS) regression functionality.
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| qnorm.cpp |
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| qnorm.h |
| An implementation of the quantile function for the standard normal distribution.
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| regularization_sequence.cpp |
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| regularization_sequence.h |
| Functions for generating regularization sequences for SLOPE.
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| score.cpp |
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| score.h |
| Scoring metrics for model evaluation.
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| screening.cpp |
| Implementation of screening rules for SLOPE regression optimization.
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| screening.h |
| Screening rules for SLOPE regression optimization.
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| slope.cpp |
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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.cpp |
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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.cpp |
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| timer.h |
| Simple high-resolution timer class for performance measurements.
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| utils.cpp |
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| utils.h |
| Various utility functions.
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