Package: SpatMCA Title: Regularized Spatial Maximum Covariance Analysis Version: 1.0.7 Authors@R: c(person( given = "Wen-Ting", family = "Wang", email = "egpivo@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3051-7302") ), person( given = "Hsin-Cheng", family = "Huang", email = "hchuang@stat.sinica.edu.tw", role = "aut", comment = c(ORCID = "0000-0002-5613-349X") ) ) Author: Wen-Ting Wang [aut, cre] (), Hsin-Cheng Huang [aut] () URL: https://egpivo.github.io/SpatMCA/, https://github.com/egpivo/SpatMCA BugReports: https://github.com/egpivo/SpatMCA/issues 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, 2018 ). License: GPL (>= 2) Depends: R (>= 3.4.0) Imports: Rcpp (>= 1.0.12), RcppParallel (>= 5.1.7), MASS, ggplot2, scales LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: testthat (>= 2.1.0), RColorBrewer, plot3D, pracma, spTimer, fields, maps, covr, V8 SystemRequirements: GNU make NeedsCompilation: yes Maintainer: Wen-Ting Wang Encoding: UTF-8 RoxygenNote: 7.3.3 Roxygen: list(markdown = TRUE) Config/testthat/edition: 3 Config/pak/sysreqs: cmake make Repository: https://egpivo.r-universe.dev Date/Publication: 2025-10-04 09:49:57 UTC RemoteUrl: https://github.com/egpivo/spatmca RemoteRef: HEAD RemoteSha: 4c3776f6fe67da6e89cd81fffd968698ef01a546 Packaged: 2026-10-06 09:05:14 UTC; root