Package: SpatPCA
Type: Package
Title: Regularized Principal Component Analysis for Spatial Data
Version: 1.1.1.0
Date: 2016-02-06
Author: Wen-Ting Wang and Hsin-Cheng Huang
Maintainer: Wen-Ting Wang <egpivo@gmail.com>
Description: 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.
License: GPL-2
Imports: Rcpp, RcppParallel (>= 0.11.2)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2016-02-11 01:52:57 UTC; USER
Repository: CRAN
Date/Publication: 2016-02-11 08:27:47
