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SpatPCA
View on CRAN: Click
here
Download and install SpatPCA package within the R console
Install from CRAN:
install.packages("SpatPCA")
Install from Github:
library("remotes")
install_github("cran/SpatPCA")
Install by package version:
library("remotes")
install_version("SpatPCA", "1.3.5")
Attach the package and use:
library("SpatPCA")
Maintained by
Wen-Ting Wang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SpatPCA . https://github.com/egpivo/SpatPCA/issues . https://github.com/egpivo/SpatPCA . SpatPCA results . SpatPCA.pdf . SpatPCA_1.3.5.tar.gz . SpatPCA_1.3.5.zip . SpatPCA_1.3.5.zip . SpatPCA_1.3.5.zip . SpatPCA_1.3.5.tgz . SpatPCA_1.3.5.tgz . SpatPCA_1.3.5.tgz . SpatPCA_1.3.5.tgz . SpatPCA archive . https://CRAN.R-project.org/package=SpatPCA .
First Published: 2015-01-23
Latest Update: 2023-11-13
Description:
Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigen-functions by using the alternating direction method of multipliers algorithm (Wang and Huang, 2017, <doi:10.1080/10618600.2016.1157483>). The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D.
How to cite:
Wen-Ting Wang (2015). SpatPCA: Regularized Principal Component Analysis for Spatial Data. R package version 1.3.5, https://cran.r-project.org/web/packages/SpatPCA. Accessed 02 May. 2025.
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