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] (ORCID:
    <https://orcid.org/0000-0003-3051-7302>),
  Hsin-Cheng Huang [aut] (ORCID: <https://orcid.org/0000-0002-5613-349X>)
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 <doi:10.1002/env.2481>).
License: GPL (>= 2)
Depends: R (>= 3.4.0)
Imports: Rcpp (>= 1.0.12), MASS, ggplot2, scales
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat (>= 2.1.0), RColorBrewer, plot3D, pracma, spTimer,
        fields, maps, covr, V8
SystemRequirements: C++17, GNU make
NeedsCompilation: yes
Maintainer: Wen-Ting Wang <egpivo@gmail.com>
Encoding: UTF-8
RoxygenNote: 7.3.3
Config/testthat/edition: 3
Packaged: 2025-09-29 05:09:41 UTC; joseph
Repository: CRAN
Date/Publication: 2025-09-29 15:40:02 UTC
Built: R 4.4.1; aarch64-apple-darwin20; 2025-10-07 13:37:25 UTC; unix
Archs: SpatMCA.so.dSYM
