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PFLR  

Estimating Penalized Functional Linear Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PFLR", "1.1.0")



Attach the package and use:
library("PFLR")
Maintained by
Haolun Shi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-30
Latest Update: 2024-07-30
Description:
Implementation of commonly used penalized functional linear regression models, including the Smooth and Locally Sparse (SLoS) method by Lin et al. (2016) <doi:10.1080/10618600.2016.1195273>, Nested Group bridge Regression (NGR) method by Guan et al. (2020) <doi:10.1080/10618600.2020.1713797>, Functional Linear Regression That's interpretable (FLIRTI) by James et al. (2009) <doi:10.1214/08-AOS641>, and the Penalized B-spline regression method.
How to cite:
Haolun Shi (2024). PFLR: Estimating Penalized Functional Linear Regression. R package version 1.1.0, https://cran.r-project.org/web/packages/PFLR. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2024-07-30 15:20)
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Complete documentation for PFLR
Functions, R codes and Examples using the PFLR R package
Full PFLR package functions and examples
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