SISIR: Select Intervals Suited for Functional Regression

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.

Version: 0.2.1
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
Published: 2023-03-12
Author: Victor Picheny [aut], Remi Servien [aut], Nathalie Vialaneix ORCID iD [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 results

Documentation:

Reference manual: SISIR.pdf

Downloads:

Package source: SISIR_0.2.1.tar.gz
Windows binaries: r-devel: SISIR_0.2.1.zip, r-release: SISIR_0.2.1.zip, r-oldrel: SISIR_0.2.1.zip
macOS binaries: r-release (arm64): SISIR_0.2.1.tgz, r-oldrel (arm64): SISIR_0.2.1.tgz, r-release (x86_64): SISIR_0.2.1.tgz, r-oldrel (x86_64): SISIR_0.2.1.tgz
Old sources: SISIR archive

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