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fasta
View on CRAN: Click
here
Download and install fasta package within the R console
Install from CRAN:
install.packages("fasta")
Install from Github:
library("remotes")
install_github("cran/fasta") Install by package version:
library("remotes")
install_version("fasta", "0.1.0") Attach the package and use:
library("fasta")
Maintained by
Eric C. Chi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-10
Latest Update: 2018-04-10
Description:
A collection of acceleration schemes for proximal gradient methods for estimating penalized regression parameters described in
Goldstein, Studer, and Baraniuk (2016) . Schemes such as Fast Iterative Shrinkage and Thresholding Algorithm (FISTA) by Beck and Teboulle (2009)
and the adaptive stepsize rule introduced in Wright, Nowak, and Figueiredo (2009) are included. You provide the objective function and proximal mappings, and it takes care of the issues like stepsize selection, acceleration, and stopping conditions for you.
How to cite:
Eric C. Chi (2018). fasta: Fast Adaptive Shrinkage/Thresholding Algorithm. R package version 0.1.0, https://cran.r-project.org/web/packages/fasta. Accessed 25 Aug. 2026.
Previous versions and publish date:
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Complete documentation for fasta
Functions, R codes and Examples using
the fasta R package
Some associated functions: fasta .
Some associated R codes: fasta.R . Full fasta package functions and examples
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