Package: sisal 0.48
sisal: Sequential Input Selection Algorithm
Implements the SISAL algorithm by Tikka and Hollmén. It is a sequential backward selection algorithm which uses a linear model in a cross-validation setting. Starting from the full model, one variable at a time is removed based on the regression coefficients. From this set of models, a parsimonious (sparse) model is found by choosing the model with the smallest number of variables among those models where the validation error is smaller than a threshold. Also implements extensions which explore larger parts of the search space and/or use ridge regression instead of ordinary least squares.
Authors:
sisal_0.48.tar.gz
sisal_0.48.zip(r-4.5)sisal_0.48.zip(r-4.4)sisal_0.48.zip(r-4.3)
sisal_0.48.tgz(r-4.4-any)sisal_0.48.tgz(r-4.3-any)
sisal_0.48.tar.gz(r-4.5-noble)sisal_0.48.tar.gz(r-4.4-noble)
sisal_0.48.tgz(r-4.4-emscripten)sisal_0.48.tgz(r-4.3-emscripten)
sisal.pdf |sisal.html✨
sisal/json (API)
NEWS
| # Install 'sisal' in R: |
| install.packages('sisal', repos = c('https://mvkorpel.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mvkorpel/sisal/issues
- toy.learn - Toy Data for SISAL
- toy.test - Toy Data for SISAL
- tsToy.learn - Toy Time Series Data for SISAL
- tsToy.test - Toy Time Series Data for SISAL
Last updated 5 years agofrom:7fe9a30a3d. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 16 2024 |
| R-4.5-win | NOTE | Sep 16 2024 |
| R-4.5-linux | NOTE | Sep 16 2024 |
| R-4.4-win | OK | Sep 16 2024 |
| R-4.4-mac | OK | Sep 16 2024 |
| R-4.3-win | OK | Sep 16 2024 |
| R-4.3-mac | OK | Sep 16 2024 |
Exports:bootMSEdynTextGroblaggedDataplot.sisalplotSelectedprint.sisalsisalsisalDatasisalTablesummary.sisaltestSisal
Dependencies:bootdigestlatticeMatrixmgcvnlmeR.matlabR.methodsS3R.ooR.utils
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| sisal: Sequential input selection algorithm | sisal-package |
| Bootstrap Estimate of Mean Squared Error Using SISAL Object | bootMSE |
| Create Text with Changing Size | dynTextGrob |
| Create Input Matrix and Output Vector for Time Series Prediction | laggedData |
| Plotting Sequential Input Selection Results | plot.sisal |
| Plotting Sets of Inputs Produced by Sequential Input Selection | plotSelected plotSelected.list plotSelected.sisal |
| Printing Sequential Input Selection Objects | print.sisal |
| Sequential Input Selection Algorithm (SISAL) | sisal |
| Download External Datasets for SISAL | sisalData |
| Draw Table with Equally Sized Cells | sisalTable |
| Summarizing Sequential Input Selection Results | print.summary.sisal summary.sisal |
| Testing the Sequential Input Selection Algorithm | testSisal |
| Toy Data for SISAL (Learning Set) | toy.learn |
| Toy Data for SISAL (Test Set) | toy.test |
| Toy Time Series Data for SISAL (Learning Set) | tsToy.learn |
| Toy Time Series Data for SISAL (Test Set) | tsToy.test |
