Select Intervals Suited for Functional Regression R package SISIR version 0.2.5 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>. Software Depends: R (>= 3.5.0), foreach, doParallel, graphics, stats Imports: Matrix, expm, RSpectra, glmnet, dplyr, mixOmics, purrr, ranger, tidyr, tidyselect, adjclust, magrittr, rlang, ggplot2, aricode, dendextend, reshape2, RColorBrewer, utils, Boruta Suggests: testthat, CORElearn Nathalie Vialaneix <nathalie.vialaneix@inrae.fr> Comprehensive R Archive Network (CRAN) Victor Picheny [aut] (ORCID: <https://orcid.org/0000-0002-4948-5542>), Remi Servien [aut] (ORCID: <https://orcid.org/0000-0003-1270-1843>), Nathalie Vialaneix [aut, cre] (ORCID: <https://orcid.org/0000-0003-1156-0639>) GPL (>= 2) 2026-07-08 application/tgz https://CRAN.R-project.org/package=SISIR doi:10.32614/CRAN.package.SISIR