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>).
Version: 1.0.4 Depends: R (≥ 3.4.0) Imports: Rcpp, RcppParallel (≥ 0.11.2), MASS, ggplot2, scales LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: testthat (≥ 2.1.0), RColorBrewer, plot3D, pracma, spTimer, fields, maps, covr, V8 Published: 2023-11-21 DOI: 10.32614/CRAN.package.SpatMCA Author: Wen-Ting Wang [aut, cre], Hsin-Cheng Huang [aut] Maintainer: Wen-Ting Wang <egpivo at gmail.com> BugReports: https://github.com/egpivo/SpatMCA/issues License: GPL-3 URL: https://github.com/egpivo/SpatMCA NeedsCompilation: yes SystemRequirements: GNU make Materials: NEWS CRAN checks: SpatMCA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SpatMCA to link to this page.
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