Package: fasta 0.1.0
fasta: Fast Adaptive Shrinkage/Thresholding Algorithm
A collection of acceleration schemes for proximal gradient methods for estimating penalized regression parameters described in Goldstein, Studer, and Baraniuk (2016) <arxiv:1411.3406>. Schemes such as Fast Iterative Shrinkage and Thresholding Algorithm (FISTA) by Beck and Teboulle (2009) <doi:10.1137/080716542> and the adaptive stepsize rule introduced in Wright, Nowak, and Figueiredo (2009) <doi:10.1109/TSP.2009.2016892> 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.
Authors:
fasta_0.1.0.tar.gz
fasta_0.1.0.zip(r-4.5)fasta_0.1.0.zip(r-4.4)fasta_0.1.0.zip(r-4.3)
fasta_0.1.0.tgz(r-4.4-any)fasta_0.1.0.tgz(r-4.3-any)
fasta_0.1.0.tar.gz(r-4.5-noble)fasta_0.1.0.tar.gz(r-4.4-noble)
fasta_0.1.0.tgz(r-4.4-emscripten)fasta_0.1.0.tgz(r-4.3-emscripten)
fasta.pdf |fasta.html✨
fasta/json (API)
| # Install 'fasta' in R: |
| install.packages('fasta', repos = c('https://echi.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:d94d6efc93. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-win | OK | Nov 22 2024 |
| R-4.5-linux | OK | Nov 22 2024 |
| R-4.4-win | OK | Nov 22 2024 |
| R-4.4-mac | OK | Nov 22 2024 |
| R-4.3-win | OK | Nov 22 2024 |
| R-4.3-mac | OK | Nov 22 2024 |
Exports:fasta
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fast Adaptive Shrinkage/Thresholding Algorithm | fasta |
