SpatMCA: Regularized Spatial Maximum Covariance Analysis

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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.

Author
Wen-Ting Wang and Hsin-Cheng Huang
Date of publication
2016-06-04 09:26:54
Maintainer
Wen-Ting Wang <egpivo@gmail.com>
License
GPL-2
Version
1.0.0.1

View on CRAN

Man pages

spatmca
Regularized spatial MCA
SpatMCAinternal1
internal_function
SpatMCAinternal2
internal_function
SpatMCA-package
Regularized Spatial Maximum Covariance Analysis

Files in this package

SpatMCA
SpatMCA/src
SpatMCA/src/Makevars
SpatMCA/src/spatmca.cpp
SpatMCA/src/Makevars.win
SpatMCA/src/RcppExports.cpp
SpatMCA/NAMESPACE
SpatMCA/R
SpatMCA/R/SpatMCA.R
SpatMCA/R/RcppExports.R
SpatMCA/MD5
SpatMCA/DESCRIPTION
SpatMCA/man
SpatMCA/man/SpatMCAinternal2.Rd
SpatMCA/man/SpatMCAinternal1.Rd
SpatMCA/man/SpatMCA-package.Rd
SpatMCA/man/spatmca.Rd