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SISIR (version 0.2.3)

Select Intervals Suited for Functional Regression

Description

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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Version

Install

install.packages('SISIR')

Monthly Downloads

237

Version

0.2.3

License

GPL (>= 2)

Maintainer

Nathalie Vialaneix

Last Published

August 16th, 2024

Functions in SISIR (0.2.3)

SFCB-class

Methods for SFCB objects
project

sparse SIR
sfcb

sfcb
sparseRes

Print sparseRes object
ridgeRes

Print ridgeRes object
SISIRres

Print SISIRres object
sparseSIR

sparse SIR
truffles

Dataset "Truffles"
ridgeSIR

ridge SIR
SISIR

Interval Sparse SIR
tune.ridgeSIR

Cross-Validation for ridge SIR