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fsemipar

Estimation, Variable Selection and Prediction for Functional Semiparametric Models

v1.1.1 · May 21, 2024 · GPL (>= 2)

Description

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.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies grpreg DiceKriging gtools parallelly doParallel foreach ggplot2 gridExtra tidyr fsemipar

Version History

new 1.1.1 Mar 9, 2026