Package: ensr 0.1.0.9001
ensr: Elastic Net SearcheR
Elastic net regression models are controlled by two parameters, lambda, a measure of shrinkage, and alpha, a metric defining the model's location on the spectrum between ridge and lasso regression. glmnet provides tools for selecting lambda via cross validation but no automated methods for selection of alpha. Elastic Net SearcheR automates the simultaneous selection of both lambda and alpha. Developed, in part, with support by NICHD R03 HD094912.
Authors:
ensr_0.1.0.9001.tar.gz
ensr_0.1.0.9001.zip(r-4.5)ensr_0.1.0.9001.zip(r-4.4)ensr_0.1.0.9001.zip(r-4.3)
ensr_0.1.0.9001.tgz(r-4.4-any)ensr_0.1.0.9001.tgz(r-4.3-any)
ensr_0.1.0.9001.tar.gz(r-4.5-noble)ensr_0.1.0.9001.tar.gz(r-4.4-noble)
ensr_0.1.0.9001.tgz(r-4.4-emscripten)ensr_0.1.0.9001.tgz(r-4.3-emscripten)
ensr.pdf |ensr.html✨
ensr/json (API)
NEWS
# Install 'ensr' in R: |
install.packages('ensr', repos = c('https://dewittpe.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dewittpe/ensr/issues
Last updated 5 years agofrom:0ea1560b85. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | OK | Nov 04 2024 |
R-4.4-mac | OK | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:ensrlambda_alpha_gridlambda_maxpreferablestandardize
Dependencies:clicodetoolscolorspacedata.tablefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Elastic Net SearcheR | ensr |
Lambda Alpha Grid | lambda_alpha_grid |
Lambda Max | lambda_max |
Water Percolation Through A Landfill | landfill |
Predict Methods for ensr objects | coef.ensr predict predict.ensr |
Preferable Elastic Net Model | preferable |
Standardize | standardize |
Synthetic Data Set for Traumatic Brain Injuries | tbi |