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SpatMCA
View on CRAN: Click
here
Download and install SpatMCA package within the R console
Install from CRAN:
install.packages("SpatMCA")
Install from Github:
library("remotes")
install_github("cran/SpatMCA")
Install by package version:
library("remotes")
install_version("SpatMCA", "1.0.4")
Attach the package and use:
library("SpatMCA")
Maintained by
Wen-Ting Wang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SpatMCA . https://github.com/egpivo/SpatMCA/issues . https://github.com/egpivo/SpatMCA . SpatMCA results . SpatMCA.pdf . SpatMCA_1.0.4.tar.gz . SpatMCA_1.0.4.zip . SpatMCA_1.0.4.zip . SpatMCA_1.0.4.zip . SpatMCA_1.0.4.tgz . SpatMCA_1.0.4.tgz . SpatMCA_1.0.4.tgz . SpatMCA_1.0.4.tgz . SpatMCA_1.0.4.tgz . SpatMCA_1.0.4.tgz . SpatMCA archive . https://CRAN.R-project.org/package=SpatMCA .
First Published: 2016-05-19
Latest Update: 2023-11-21
Description:
Provide regularized maximum covariance analysis incorporating smoothness, sparseness and orthogonality of couple patterns by using the alternating direction method of multipliers algorithm. The method can be applied to either regularly or irregularly spaced data,including 1D, 2D, and 3D (Wang and Huang, 2017 <doi:10.1002/env.2481>).
How to cite:
Wen-Ting Wang (2016). SpatMCA: Regularized Spatial Maximum Covariance Analysis. R package version 1.0.4, https://cran.r-project.org/web/packages/SpatMCA. Accessed 15 Feb. 2025.
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