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SpatMCA  

Regularized Spatial Maximum Covariance Analysis
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]
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.
Previous versions and publish date:
1.0.0.0 (2016-05-19 12:02), 1.0.0.1 (2016-06-04 09:26), 1.0.0.2 (2017-03-18 01:11), 1.0.1.0 (2018-04-02 11:41), 1.0.2.0 (2021-01-16 01:50)
Other packages that cited SpatMCA R package
View SpatMCA citation profile
Other R packages that SpatMCA depends, imports, suggests or enhances
Complete documentation for SpatMCA
Functions, R codes and Examples using the SpatMCA R package
Full SpatMCA package functions and examples
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