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: | 0.2.3 |
| 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: | 2024-08-16 |
| 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://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 |