Regularized Spatial Maximum Covariance Analysis

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, 2018 ).


Reference manual

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install.packages("SpatMCA")

1.0.7 by Wen-Ting Wang, a year ago


https://egpivo.github.io/SpatMCA/, https://github.com/egpivo/SpatMCA


Report a bug at https://github.com/egpivo/SpatMCA/issues


Browse source code at https://github.com/cran/SpatMCA


Authors: Wen-Ting Wang [aut, cre] (ORCID: , Hsin-Cheng Huang [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, MASS, ggplot2, scales

Suggests testthat, RColorBrewer, plot3D, pracma, spTimer, fields, maps, covr, V8

Linking to Rcpp, RcppArmadillo, RcppParallel

System requirements: C++17, GNU make


See at CRAN