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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>).
Getting started
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Package details |
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| Author | Wen-Ting Wang [aut, cre] (<https://orcid.org/0000-0003-3051-7302>), Hsin-Cheng Huang [aut] (<https://orcid.org/0000-0002-5613-349X>) |
| Maintainer | Wen-Ting Wang <egpivo@gmail.com> |
| License | GPL-3 |
| Version | 1.0.4 |
| URL | https://github.com/egpivo/SpatMCA |
| Package repository | View on CRAN |
| Installation |
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