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sisal  

Sequential Input Selection Algorithm
View on CRAN: Click here


Download and install sisal package within the R console
Install from CRAN:
install.packages("sisal")

Install from Github:
library("remotes")
install_github("cran/sisal")

Install by package version:
library("remotes")
install_version("sisal", "0.49")



Attach the package and use:
library("sisal")
Maintained by
Mikko Korpela
[Scholar Profile | Author Map]
First Published: 2015-10-10
Latest Update: 2020-02-15
Description:
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.
How to cite:
Mikko Korpela (2015). sisal: Sequential Input Selection Algorithm. R package version 0.49, https://cran.r-project.org/web/packages/sisal. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.46 (2015-10-10 15:45), 0.48 (2020-02-15 22:00)
Other packages that cited sisal R package
View sisal citation profile
Other R packages that sisal depends, imports, suggests or enhances
Complete documentation for sisal
Functions, R codes and Examples using the sisal R package
Some associated functions: bootMSE . dynTextGrob . laggedData . plot.sisal . plotSelected.sisal . print.sisal . sisal-package . sisal . sisalData . sisalTable . summary.sisal . testSisal . toy.learn . toy.test . tsToy.learn . tsToy.test . 
Some associated R codes: bootMSE.R . dynTextGrob.R . helpers.R . laggedData.R . plot.sisal.R . plotSelected.R . sisal.R . sisalData.R . sisalTable.R . stripePolygon.R . testSisal.R .  Full sisal package functions and examples
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