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 |
| 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 results |