Package: SVEMnet 1.3.0
SVEMnet: Self-Validated Ensemble Models with Elastic Net Regression
Implements Self-Validated Ensemble Models (SVEM, Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) using Elastic Net regression via 'glmnet' (Friedman et al. <doi:10.18637/jss.v033.i01>). SVEM averages predictions from multiple models fitted to fractionally weighted bootstraps of the data, tuned with anti-correlated validation weights. Also implements the randomized permutation whole model test for SVEM (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). \\Code for the whole model test was taken from the supplementary material of Karl (2024). Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.
Authors:
SVEMnet_1.3.0.tar.gz
SVEMnet_1.3.0.zip(r-4.5)SVEMnet_1.3.0.zip(r-4.4)SVEMnet_1.3.0.zip(r-4.3)
SVEMnet_1.3.0.tgz(r-4.4-any)SVEMnet_1.3.0.tgz(r-4.3-any)
SVEMnet_1.3.0.tar.gz(r-4.5-noble)SVEMnet_1.3.0.tar.gz(r-4.4-noble)
SVEMnet_1.3.0.tgz(r-4.4-emscripten)SVEMnet_1.3.0.tgz(r-4.3-emscripten)
SVEMnet.pdf |SVEMnet.html✨
SVEMnet/json (API)
NEWS
| # Install 'SVEMnet' in R: |
| install.packages('SVEMnet', repos = c('https://akarl46556.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 1 months agofrom:4465bb4781. Checks:7 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 20 2025 |
| R-4.5-win | OK | Jan 20 2025 |
| R-4.5-linux | OK | Jan 20 2025 |
| R-4.4-win | OK | Jan 20 2025 |
| R-4.4-mac | OK | Jan 20 2025 |
| R-4.3-win | OK | Jan 20 2025 |
| R-4.3-mac | OK | Jan 20 2025 |
Exports:glmnet_with_cvpredict_cvsvem_significance_testsvem_significance_test_parallelSVEMnet
Dependencies:clicodetoolscolorspacedoParallelfansifarverforeachgamlssgamlss.datagamlss.distggplot2glmnetgluegtableisobanditeratorslabelinglatticelhslifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| SVEMnet: Self-Validated Ensemble Models with Elastic Net Regression | SVEMnet-package |
| Plot Coefficient Nonzero Percentages from a SVEMnet Model | coef.svem_model |
| Fit a glmnet Model with Cross-Validation | glmnet_with_cv |
| Plot Method for SVEM Models | plot.svem_model |
| Plot SVEM Significance Test Results for Multiple Responses | plot.svem_significance_test |
| Predict Function for glmnet_with_cv Models | predict_cv |
| Predict Method for SVEM Models | predict.svem_model |
| Print Method for SVEM Significance Test | print.svem_significance_test |
| SVEM Significance Test | svem_significance_test |
| SVEM Significance Test (Parallel Version) | svem_significance_test_parallel |
| Fit an SVEMnet Model | SVEMnet |
