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 (standard ridge and sparse SIR are also included in the package) and a random forest based approach, as described in .


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  • Depends5 packages
  • Imports20 packages
  • Suggests1 package