Estimation, Variable Selection and Prediction for Functional Semiparametric Models R package fsemipar version 1.1.1 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. Software Depends: R (>= 3.5.0), grpreg Imports: DiceKriging, splines, gtools, stats, parallelly, doParallel, parallel, foreach, ggplot2, gridExtra, tidyr Silvia Novo <snovo@est-econ.uc3m.es> Comprehensive R Archive Network (CRAN) German Aneiros [aut], Silvia Novo [aut, cre] GPL (>= 2) 2024-05-21 application/tgz https://CRAN.R-project.org/package=fsemipar doi:10.32614/CRAN.package.fsemipar