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.
- Version0.2.3
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- SISIR citation info
- Last release08/16/2024
Documentation
Team
Nathalie Vialaneix
MaintainerShow author detailsVictor Picheny
Remi Servien
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