fsemipar:Estimation, Variable Selection and Prediction for Functional
Semiparametric Models
Routines for the estimation or simultaneous estimation and variable selection in several functional semiparametric models
with scalar responses are provided. These models include the
functional single-index model, the semi-functional partial
linear model, and the semi-functional partial linear
single-index model. Additionally, the package offers algorithms
for handling scalar covariates with linear effects that
originate from the discretization of a curve. This
functionality is applicable in the context of the linear model,
the multi-functional partial linear model, and the
multi-functional partial linear single-index model.
