CRAN/E | SpatMCA

SpatMCA

Regularized Spatial Maximum Covariance Analysis

Installation

About

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, 2017 doi:10.1002/env.2481).

github.com/egpivo/SpatMCA
System requirements GNU make
Bug report File report

Key Metrics

Version 1.0.4
R ≥ 3.4.0
Published 2023-11-21 160 days ago
Needs compilation? yes
License GPL-3
CRAN checks SpatMCA results

Downloads

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Maintainer

Maintainer

Wen-Ting Wang

egpivo@gmail.com

Authors

Wen-Ting Wang

aut / cre

Hsin-Cheng Huang

aut

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Old Sources

SpatMCA archive

Depends

R ≥ 3.4.0

Imports

Rcpp
RcppParallel ≥ 0.11.2
MASS
ggplot2
scales

Suggests

testthat ≥ 2.1.0
RColorBrewer
plot3D
pracma
spTimer
fields
maps
covr
V8

LinkingTo

Rcpp
RcppArmadillo
RcppParallel