Package: l2boost 1.0.3
l2boost: Exploring Friedman's Boosting Algorithm for Regularized Linear Regression
Efficient implementation of Friedman's boosting algorithm with l2-loss function and coordinate direction (design matrix columns) basis functions.
Authors:
l2boost_1.0.3.tar.gz
l2boost_1.0.3.zip(r-4.5)l2boost_1.0.3.zip(r-4.4)l2boost_1.0.3.zip(r-4.3)
l2boost_1.0.3.tgz(r-4.4-any)l2boost_1.0.3.tgz(r-4.3-any)
l2boost_1.0.3.tar.gz(r-4.5-noble)l2boost_1.0.3.tar.gz(r-4.4-noble)
l2boost_1.0.3.tgz(r-4.4-emscripten)l2boost_1.0.3.tgz(r-4.3-emscripten)
l2boost.pdf |l2boost.html✨
l2boost/json (API)
NEWS
# Install 'l2boost' in R: |
install.packages('l2boost', repos = c('https://ehrlinger.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ehrlinger/l2boost/issues
Datasets:
- diabetes - Blood and other measurements in diabetics [Hastie and Efron (2012)]
Last updated 3 years agofrom:b924457c5f. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 11 2024 |
R-4.5-win | NOTE | Oct 11 2024 |
R-4.5-linux | NOTE | Oct 11 2024 |
R-4.4-win | NOTE | Oct 11 2024 |
R-4.4-mac | NOTE | Oct 11 2024 |
R-4.3-win | NOTE | Oct 11 2024 |
R-4.3-mac | NOTE | Oct 11 2024 |
Exports:cv.l2boostelasticNetSiml2boostmvnorm.l2boost
Dependencies:MASS