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SLFPCA  

Sparse Logistic Functional Principal Component Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SLFPCA", "3.0")



Attach the package and use:
library("SLFPCA")
Maintained by
Rou Zhong
[Scholar Profile | Author Map]
First Published: 2021-08-20
Latest Update: 2022-12-13
Description:
Implementation for sparse logistic functional principal component analysis (SLFPCA). SLFPCA is specifically developed for functional binary data, and the estimated eigenfunction can be strictly zero on some sub-intervals, which is helpful for interpretation. The crucial function of this package is SLFPCA().
How to cite:
Rou Zhong (2021). SLFPCA: Sparse Logistic Functional Principal Component Analysis. R package version 3.0, https://cran.r-project.org/web/packages/SLFPCA. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0 (2021-08-20 11:20), 2.0 (2022-02-03 11:10)
Other packages that cited SLFPCA R package
View SLFPCA citation profile
Other R packages that SLFPCA depends, imports, suggests or enhances
Complete documentation for SLFPCA
Functions, R codes and Examples using the SLFPCA R package
Some associated functions: GenBinaryFD . SLFPCA . 
Some associated R codes: GenBinaryFD.R . SCADfun.R . SLFPCA.R . SLFPCA_sub.R . init_eig_setting.R . init_mu_setting.R . linkfun.R .  Full SLFPCA package functions and examples
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