Package: srlars 1.0.1
srlars: Split Robust Least Angle Regression
Functions to perform split robust least angle regression. The approach first uses the least angle regression algorithm to split the variables into the models of an ensemble and robust estimates of the correlation between predictors. An elastic net estimator is then applied to the selected predictors in each model using the imputed data from the detect deviating cell (DDC) method.
Authors:
srlars_1.0.1.tar.gz
srlars_1.0.1.zip(r-4.5)srlars_1.0.1.zip(r-4.4)srlars_1.0.1.zip(r-4.3)
srlars_1.0.1.tgz(r-4.4-any)srlars_1.0.1.tgz(r-4.3-any)
srlars_1.0.1.tar.gz(r-4.5-noble)srlars_1.0.1.tar.gz(r-4.4-noble)
srlars_1.0.1.tgz(r-4.4-emscripten)srlars_1.0.1.tgz(r-4.3-emscripten)
srlars.pdf |srlars.html✨
srlars/json (API)
NEWS
| # Install 'srlars' in R: |
| install.packages('srlars', repos = c('https://anthonychristidis.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/anthonychristidis/srlars/issues
Last updated 3 months agofrom:ed6c0e6191. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win | OK | Nov 03 2024 |
| R-4.5-linux | OK | Nov 03 2024 |
| R-4.4-win | OK | Nov 03 2024 |
| R-4.4-mac | OK | Nov 03 2024 |
| R-4.3-win | OK | Nov 03 2024 |
| R-4.3-mac | OK | Nov 03 2024 |
Exports:srlars
Dependencies:cellWiseclicodetoolscolorspaceDEoptimRfansifarverforeachggplot2glmnetgluegridExtragtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmepcaPPpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrobustbaserrcovscalesshapestringistringrsurvivalsvdtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Coefficients for srlars Object | coef.srlars |
| Predictions for srlars Object | predict.srlars |
| Robust Split Least Angle Regression | srlars |
