SpatMCA: Regularized Spatial Maximum Covariance Analysis
Version 1.0.0.2

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).

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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
URL https://github.com/egpivo/SpatMCA
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("SpatMCA")

Man pages

spatmca: Regularized spatial MCA
SpatMCAinternal1: internal_function
SpatMCAinternal2: internal_function
SpatMCAinternal3: internal_function
SpatMCA-package: Regularized Spatial Maximum Covariance Analysis

Functions

SpatMCA-package Man page
spatmca Man page Source code
spatmcacv_rcpp Man page Source code
spatmcacvall_rcpp Man page Source code
tpm2 Man page Source code

Files

src
src/Makevars
src/spatmca.cpp
src/registerDynamicSymbol.c
src/Makevars.win
src/RcppExports.cpp
NAMESPACE
R
R/SpatMCA.R
R/RcppExports.R
README.md
MD5
DESCRIPTION
man
man/SpatMCAinternal2.Rd
man/SpatMCAinternal3.Rd
man/SpatMCAinternal1.Rd
man/SpatMCA-package.Rd
man/spatmca.Rd
SpatMCA documentation built on May 19, 2017, 5:59 p.m.