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: |
0.2.4 |
| Depends: |
R (≥ 3.5.0), foreach, doParallel, graphics, stats |
| Imports: |
Matrix, expm, RSpectra, glmnet, CORElearn, dplyr, mixOmics, purrr, ranger, tidyr, tidyselect, adjclust, magrittr, rlang, ggplot2, aricode, dendextend, reshape2, RColorBrewer, utils |
| Suggests: |
testthat, Boruta |
| Published: |
2026-05-14 |
| 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://forge.inrae.fr/sfcb/sisir/-/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://sfcb.pages-forge.inrae.fr/sisir,
https://forge.inrae.fr/sfcb/sisir |
| NeedsCompilation: |
no |
| Citation: |
SISIR citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
SISIR results |