SpatPCA: Regularized Principal Component Analysis for Spatial Data

Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigenfunctions by using the alternating direction method of multipliers algorithm. The method can be applied to either regularly or irregularly spaced data.

Version: 1.1.1.1
Imports: Rcpp, RcppParallel (≥ 0.11.2)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Published: 2016-05-27
Author: Wen-Ting Wang and Hsin-Cheng Huang
Maintainer: Wen-Ting Wang <egpivo at gmail.com>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: SpatPCA results

Downloads:

Reference manual: SpatPCA.pdf
Package source: SpatPCA_1.1.1.1.tar.gz
Windows binaries: r-devel: SpatPCA_1.1.1.1.zip, r-release: SpatPCA_1.1.1.1.zip, r-oldrel: SpatPCA_1.1.1.1.zip
OS X Mavericks binaries: r-release: SpatPCA_1.1.1.1.tgz, r-oldrel: SpatPCA_1.1.1.1.tgz
Old sources: SpatPCA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SpatPCA to link to this page.