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fsemipar  

Estimation, Variable Selection and Prediction for Functional Semiparametric Models
View on CRAN: Click here


Download and install fsemipar package within the R console
Install from CRAN:
install.packages("fsemipar")

Install from Github:
library("remotes")
install_github("cran/fsemipar")

Install by package version:
library("remotes")
install_version("fsemipar", "1.1.1")



Attach the package and use:
library("fsemipar")
Maintained by
Silvia Novo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-23
Latest Update: 2024-05-21
Description:
Routines for estimation or simultaneous estimation and variable selection of several functional semiparametric models with scalar response, such as the functional single-index model, the semi-functional partial linear model or the semi-functional partial linear single-index model. In addition, it includes algorithms for dealing with scalar covariates with linear effect coming from the discretization of a curve in the cases of the linear model, the multi-functional partial linear model and the multi-functional partial linear single-index model.
How to cite:
Silvia Novo (2023). fsemipar: Estimation, Variable Selection and Prediction for Functional Semiparametric Models. R package version 1.1.1, https://cran.r-project.org/web/packages/fsemipar. Accessed 06 Jun. 2026.
Previous versions and publish date:
1.0.1 (2024-02-21 11:20), 1.0 (2023-01-23 10:50), 1.1.0 (2024-04-27 21:00)
Other packages that cited fsemipar R package
View fsemipar citation profile
Other R packages that fsemipar depends, imports, suggests or enhances
Complete documentation for fsemipar
Functions, R codes and Examples using the fsemipar R package
Some associated functions: FASSMR.kNN.fit . FASSMR.kernel.fit . IASSMR.kNN.fit . IASSMR.kernel.fit . PVS.fit . PVS.kNN.fit . PVS.kernel.fit . Sugar . Tecator . fsemipar-package . fsemipar.internal . fsim.kNN.fit . fsim.kNN.test . fsim.kernel.fit . fsim.kernel.test . lm.pels.fit . plot.classes . predict.IASSMR . predict.fsim . predict.lm . predict.mfplm . predict.sfpl . predict.sfplsim.FASSMR . print.summary.fsim . print.summary.lm . print.summary.mfpl . print.summary.mfplsim . print.summary.sfpl . print.summary.sfplsim . projec . semimetric.projec . sfpl.kNN.fit . sfpl.kernel.fit . sfplsim.kNN.fit . sfplsim.kernel.fit . 
Some associated R codes: FASSMR.kNN.R . FASSMR.kNN.fit.R . FASSMR.kernel.R . FASSMR.kernel.fit.R . H.fnp.kNN.R . H.fnp.kernel.R . H.fsim.kNN.R . H.fsim.kernel.R . IASSMR.kNN.R . IASSMR.kNN.fit.R . IASSMR.kernel.R . IASSMR.kernel.fit.R . PVS.R . PVS.fit.R . PVS.kNN.R . PVS.kNN.fit.R . PVS.kernel.R . PVS.kernel.fit.R . flr.routines.R . fnp.kNN.GCV.R . fnp.kNN.fit.R . fnp.kNN.fit.test.R . fnp.kNN.fit.test.loc.R . fnp.kNN.test.R . fnp.kernel.fit.R . fnp.kernel.fit.test.R . fnp.kernel.test.R . fsim.kNN.R . fsim.kNN.fit.R . fsim.kNN.fit.fixedtheta.R . fsim.kNN.test.R . fsim.kernel.R . fsim.kernel.fit.R . fsim.kernel.fit.fixedtheta.R . fsim.kernel.test.R . fun.kNN.R . fun.kNN.fixedtheta.R . fun.kernel.R . fun.kernel.fixedtheta.R . funopare.kNN.R . lm.pels.R . lm.pels.fit.R . normaliza.R . projec.R . quad.R . semimetric.deriv.R . semimetric.interv.R . semimetric.pca.R . semimetric.projec.R . sfpl.kNN.R . sfpl.kNN.fit.R . sfpl.kernel.R . sfpl.kernel.fit.R . sfplsim.kNN.R . sfplsim.kNN.fit.R . sfplsim.kNN.fit.fixedtheta.R . sfplsim.kernel.R . sfplsim.kernel.fit.R . sfplsim.kernel.fit.fixedtheta.R . symsolve.R .  Full fsemipar package functions and examples
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