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: 0.2.2
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: 2023-03-26
DOI: 10.32614/CRAN.package.SISIR
Author: Victor Picheny [aut], Remi Servien [aut], Nathalie Vialaneix ORCID iD [aut, cre]
Maintainer: Nathalie Vialaneix <nathalie.vialaneix at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: SISIR citation info
Materials: NEWS
CRAN checks: SISIR results


Reference manual: SISIR.pdf


Package source: SISIR_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SISIR_0.2.2.tgz, r-oldrel (arm64): SISIR_0.2.2.tgz, r-release (x86_64): SISIR_0.2.2.tgz, r-oldrel (x86_64): SISIR_0.2.2.tgz
Old sources: SISIR archive


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