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IterativeHardThresholding
View on CRAN: Click
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Download and install IterativeHardThresholding package within the R console
Install from CRAN:
install.packages("IterativeHardThresholding")
Install from Github:
library("remotes")
install_github("cran/IterativeHardThresholding") Install by package version:
library("remotes")
install_version("IterativeHardThresholding", "1.0.3") Attach the package and use:
library("IterativeHardThresholding")
Maintained by
Marc A. Suchard
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-08
Latest Update: 2025-07-21
Description:
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)
describe the basic algorithm, this package uses Cyclops for an efficient implementation.
How to cite:
Marc A. Suchard (2022). IterativeHardThresholding: Iterative Hard Thresholding Extensions to Cyclops. R package version 1.0.3, https://cran.r-project.org/web/packages/IterativeHardThresholding. Accessed 29 Oct. 2026.
Previous versions and publish date:
1.0.2 (2022-09-08 08:43), (2026-07-09 08:07)
Other packages that cited IterativeHardThresholding R package
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Other R packages that IterativeHardThresholding depends,
imports, suggests or enhances
Complete documentation for IterativeHardThresholding
Functions, R codes and Examples using
the IterativeHardThresholding R package
Some associated functions: createFastIhtPrior . createIhtPrior .
Some associated R codes: FastIhtPrior.R . Prior.R . Full IterativeHardThresholding package functions and examples
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