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: 2026-10-29 10:17:23 UTC; root
Config/pak/sysreqs: make
Repository: https://cran.r-universe.dev
Date/Publication: 2025-09-29 15:40:02 UTC
RemoteUrl: https://github.com/cran/SpatMCA
RemoteRef: HEAD
RemoteSha: ee9d5e17e1ac16eb58a53a6468763f0674a41a1e