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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, as described in <doi:10.1002/sam.11705>.
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Package details |
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| Author | 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>) |
| Maintainer | Nathalie Vialaneix <nathalie.vialaneix@inrae.fr> |
| License | GPL (>= 2) |
| Version | 0.2.4 |
| URL | https://sfcb.pages-forge.inrae.fr/sisir https://forge.inrae.fr/sfcb/sisir |
| Package repository | View on CRAN |
| Installation |
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