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SpatMCA

Regularized Spatial Maximum Covariance Analysis

v1.0.7 · Sep 29, 2025 · GPL (>= 2)

Description

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, 2018 <doi:10.1002/env.2481>).

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp MASS ggplot2 scales SpatMCA

Version History

new 1.0.7 Mar 10, 2026