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>).

Package details

AuthorWen-Ting Wang [aut, cre] (<>), Hsin-Cheng Huang [aut] (<>)
MaintainerWen-Ting Wang <>
Package repositoryView on CRAN
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SpatMCA documentation built on Nov. 21, 2023, 5:07 p.m.