Package: SpatMCA 1.0.6

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

Authors:Wen-Ting Wang [aut, cre], Hsin-Cheng Huang [aut]

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Peer review:

Bug tracker:https://github.com/egpivo/spatmca/issues

On CRAN:

admmccacross-covariancelassomatrix-factorizationrcpparmadillorcppparallelsplines

10 exports 5 stars 1.65 score 31 dependencies 4 scripts 206 downloads

Last updated 23 days agofrom:47dfeaae69. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:checkInputDatadetrendplot_cv_fieldplot_sequentiallyplot.spatmcasetCoresspatmcaspatmcacv_rcppspatmcacvall_rcpptpm2

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppParallelrlangscalestibbleutf8vctrsviridisLitewithr