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>).

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>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: SpatMCA results


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


Please use the canonical form to link to this page.