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