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IterativeHardThresholding

Iterative Hard Thresholding Extensions to Cyclops

Fits large-scale regression models with a penalty that restricts the maximum number of non-zero regression coefficients to a prespecified value. While Chu et al (2020) <doi:10.1093/gigascience/giaa044> describe the basic algorithm, this package uses Cyclops for an efficient implementation.

Versions across snapshots

VersionRepositoryFileSize
1.0.3 rolling linux/jammy R-4.5 IterativeHardThresholding_1.0.3.tar.gz 26.9 KiB
1.0.3 rolling linux/noble R-4.5 IterativeHardThresholding_1.0.3.tar.gz 26.8 KiB
1.0.3 rolling source/ R- IterativeHardThresholding_1.0.3.tar.gz 7.1 KiB
1.0.3 latest linux/jammy R-4.5 IterativeHardThresholding_1.0.3.tar.gz 26.9 KiB
1.0.3 latest linux/noble R-4.5 IterativeHardThresholding_1.0.3.tar.gz 26.8 KiB
1.0.3 latest source/ R- IterativeHardThresholding_1.0.3.tar.gz 7.1 KiB
1.0.3 2026-04-26 source/ R- IterativeHardThresholding_1.0.3.tar.gz 7.1 KiB
1.0.3 2026-04-23 source/ R- IterativeHardThresholding_1.0.3.tar.gz 7.1 KiB
1.0.3 2026-04-09 windows/windows R-4.5 IterativeHardThresholding_1.0.3.zip 30.6 KiB
1.0.2 2025-04-20 source/ R- IterativeHardThresholding_1.0.2.tar.gz 7.1 KiB

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