Package: IterativeHardThresholding 1.0.2

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.

Authors:Marc A. Suchard [aut, cre], Patrick Ryan [aut], Observational Health Data Sciences and Informatics [cph]

IterativeHardThresholding_1.0.2.tar.gz
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IterativeHardThresholding.pdf |IterativeHardThresholding.html
IterativeHardThresholding/json (API)
NEWS

# Install 'IterativeHardThresholding' in R:
install.packages('IterativeHardThresholding', repos = c('https://msuchard.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 3 scripts 447 downloads 2 exports 45 dependencies

Last updated 2 years agofrom:2f8042d2d3. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 21 2025
R-4.5-winNOTEFeb 21 2025
R-4.5-macNOTEFeb 21 2025
R-4.5-linuxNOTEFeb 21 2025
R-4.4-winOKFeb 21 2025
R-4.4-macOKFeb 21 2025
R-4.3-winOKFeb 21 2025
R-4.3-macOKFeb 21 2025

Exports:createFastIhtPriorcreateIhtPrior

Dependencies:Andromedabitbit64blobcachemclicpp11CyclopsDBIdbplyrdplyrfansifastmapgenericsgluehmsjsonlitelatticelifecyclemagrittrMatrixmemoiseParallelLoggerpillarpkgconfigplogrpurrrR6RcppRcppEigenRcppParallelrlangRSQLitesnowstringistringrsurvivaltibbletidyrtidyselectutf8vctrswithrxml2zip