# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "sisal" in publications use:' type: software license: GPL-2.0-or-later title: 'sisal: Sequential Input Selection Algorithm' version: '0.49' doi: 10.1016/j.neucom.2007.11.037 identifiers: - type: doi value: 10.32614/CRAN.package.sisal abstract: 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: - family-names: Korpela given-names: Mikko email: mvkorpel@iki.fi preferred-citation: type: article title: Sequential input selection algorithm for long-term prediction of time series authors: - family-names: Tikka given-names: Jarkko - family-names: Hollmén given-names: Jaakko journal: Neurocomputing volume: '71' issue: 13--15 year: '2008' issn: 0925-2312 doi: 10.1016/j.neucom.2007.11.037 keywords: - input selection - time series prediction - parsimonious modeling - multilayer-perceptron networks - sensitivity analysis start: '2604' end: '2615' repository: https://CRAN.R-project.org/package=sisal repository-code: https://github.com/mvkorpel/sisal url: https://github.com/mvkorpel/sisal date-released: '2024-10-25' contact: - family-names: Korpela given-names: Mikko email: mvkorpel@iki.fi references: - type: manual title: 'sisal: Sequential Input Selection Algorithm' authors: - family-names: Korpela given-names: Mikko email: mvkorpel@iki.fi year: '2024' notes: R package version 0.49 url: https://CRAN.R-project.org/package=sisal