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 (Wang and Huang, 2017).

AuthorWen-Ting Wang [aut, cre], Hsin-Cheng Huang [aut]
Date of publication2017-03-18 00:11:18 UTC
MaintainerWen-Ting Wang <egpivo@gmail.com>
LicenseGPL-2
Version1.0.0.2
https://github.com/egpivo/SpatMCA

View on CRAN

Files

SpatMCA
SpatMCA/src
SpatMCA/src/Makevars
SpatMCA/src/spatmca.cpp
SpatMCA/src/registerDynamicSymbol.c
SpatMCA/src/Makevars.win
SpatMCA/src/RcppExports.cpp
SpatMCA/NAMESPACE
SpatMCA/R
SpatMCA/R/SpatMCA.R SpatMCA/R/RcppExports.R
SpatMCA/README.md
SpatMCA/MD5
SpatMCA/DESCRIPTION
SpatMCA/man
SpatMCA/man/SpatMCAinternal2.Rd SpatMCA/man/SpatMCAinternal3.Rd SpatMCA/man/SpatMCAinternal1.Rd SpatMCA/man/SpatMCA-package.Rd SpatMCA/man/spatmca.Rd

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