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
- Version1.0.4
- R version≥ 3.4.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release11/21/2023
Documentation
Team
Wen-Ting Wang
Hsin-Cheng Huang
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- Depends1 package
- Imports5 packages
- Suggests9 packages
- Linking To3 packages