Interval fusion and selection procedures for regression with functional inputs. Methods include a semiparametric approach based on Sliced Inverse Regression (SIR), as described in <doi:10.1007/s11222-018-9806-6> (standard ridge and sparse SIR are also included in the package) and a random forest based approach, as described in <doi:10.1002/sam.11705>.
Version: 0.2.3 Depends: R (≥ 3.5.0), foreach, doParallel, graphics, stats Imports: Matrix, expm, RSpectra, glmnet, Boruta, CORElearn, dplyr, mixOmics, purrr, ranger, tidyr, tidyselect, adjclust, magrittr, rlang, ggplot2, aricode, dendextend, reshape2, RColorBrewer Suggests: testthat Published: 2024-08-16 DOI: 10.32614/CRAN.package.SISIR Author: Victor Picheny [aut], Remi Servien [aut], Nathalie Vialaneix [aut, cre] Maintainer: Nathalie Vialaneix <nathalie.vialaneix at inrae.fr> BugReports: https://forgemia.inra.fr/sfcb/sisir/-/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://forgemia.inra.fr/sfcb/sisir NeedsCompilation: no Citation: SISIR citation info Materials: NEWS CRAN checks: SISIR resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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