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
SpatMCA provides regularized maximum covariance analysis with
To get the current released version from CRAN:
install.packages("SpatMCA")
To get the current development version from GitHub:
devtools::install_github("egpivo/SpatMCA")
Wen-Ting Wang and Hsin-Cheng Huang
GPL-2