SpatMCA: Regularized Spatial Maximum Covariance Analysis

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: 1.0.1.0
Imports: Rcpp, RcppParallel (≥ 0.11.2), fields, MASS
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Published: 2018-04-02
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-2
URL: https://github.com/egpivo/SpatMCA
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: SpatMCA results

Downloads:

Reference manual: SpatMCA.pdf
Package source: SpatMCA_1.0.1.0.tar.gz
Windows binaries: r-prerelease: SpatMCA_1.0.1.0.zip, r-release: SpatMCA_1.0.1.0.zip, r-oldrel: SpatMCA_1.0.1.0.zip
macOS binaries: r-prerelease: SpatMCA_1.0.1.0.tgz, r-release: SpatMCA_1.0.1.0.tgz, r-oldrel: SpatMCA_1.0.1.0.tgz
Old sources: SpatMCA archive

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