R-universe - trambakbanerjee (Trambak Banerjee)

asus - Adaptive SURE Thresholding Using Side Information

Provides the ASUS procedure for estimating a high dimensional sparse parameter in the presence of auxiliary data that encode side information on sparsity. It is a robust data combination procedure in the sense that even when pooling non-informative auxiliary data ASUS would be at least as efficient as competing soft thresholding based methods that do not use auxiliary data. For more information, please see the paper Adaptive Sparse Estimation with Side Information by Banerjee, Mukherjee and Sun (JASA 2020).

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4.11 score 2 stars 13 scripts 662 downloads

fusionclust - Clustering and Feature Screening using L1 Fusion Penalty

Provides the Big Merge Tracker and COSCI algorithms for convex clustering and feature screening using L1 fusion penalty.

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3.81 score 1 stars 13 scripts 523 downloads