Package: IterativeHardThresholding 1.0.3

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_1.0.3.tar.gz
IterativeHardThresholding_1.0.3.zip(r-4.7)IterativeHardThresholding_1.0.3.zip(r-4.6)IterativeHardThresholding_1.0.3.zip(r-4.5)
IterativeHardThresholding_1.0.3.tgz(r-4.6-any)IterativeHardThresholding_1.0.3.tgz(r-4.5-any)
IterativeHardThresholding_1.0.3.tar.gz(r-4.7-any)IterativeHardThresholding_1.0.3.tar.gz(r-4.6-any)
IterativeHardThresholding_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

Conda:

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

1.70 score 2 scripts 402 downloads 2 exports 40 dependencies

Last updated from:2ef21bd5da. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK156
source / vignettesOK181
linux-release-x86_64OK164
macos-release-arm64OK221
macos-oldrel-arm64OK224
windows-develOK103
windows-releaseOK104
windows-oldrelOK161
wasm-releaseOK118

Exports:createFastIhtPriorcreateIhtPrior

Dependencies:Andromedabitbit64blobclicpp11CyclopsDBIdbplyrdplyrduckdbgenericsgluejsonlitelatticelifecyclemagrittrMatrixmemuseParallelLoggerpillarpkgconfigpurrrR6RcppRcppEigenrlangrstudioapisnowstringistringrsurvivaltibbletidyrtidyselectutf8vctrswithrxml2zip