Package: sisal 0.49
Mikko Korpela
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_0.49.tar.gz
sisal_0.49.tar.gz(r-4.5-noble)sisal_0.49.tar.gz(r-4.4-noble)
sisal_0.49.tgz(r-4.4-emscripten)sisal_0.49.tgz(r-4.3-emscripten)
sisal.pdf |sisal.html✨
sisal/json (API)
NEWS
| # Install 'sisal' in R: |
| install.packages('sisal', repos = '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 months agofrom:65e7a71c4d. Checks:3 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 26 2025 |
| R-4.5-linux | OK | Mar 26 2025 |
| R-4.4-linux | OK | Mar 26 2025 |
Exports:bootMSEdynTextGroblaggedDataplot.sisalplotSelectedprint.sisalsisalsisalDatasisalTablesummary.sisaltestSisal
Dependencies:bootdigestlatticeMatrixmgcvnlmeR.matlabR.methodsS3R.ooR.utils
Readme and manuals
sisal
Overview
Input selection with SISAL, originally developed by Tikka and Hollmén. It is a sequential backward selection algorithm which uses a linear model in a cross-validation setting.
Installation
The latest release version of sisal is installed from CRAN as follows:
install.packages("sisal")
The development version can be installed with devtools
(install.packages("devtools")):
devtools::install_github("mvkorpel/sisal")
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 |
