SISIR

Select Intervals Suited for Functional Regression

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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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  • Depends2 packages
  • Imports19 packages
  • Suggests1 package