SISIR is an R package designed to handle function data (e.g., curved
sampled on a discrete time grid). Implemented methods can perform interval
fusion and selection procedures in regression models with functional inputs.
They 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.