Package: SpatPCA
Type: Package
Title: Regularized Principal Component Analysis for Spatial Data
Version: 1.1.1.2
Date: 2017-03-17
URL: https://github.com/egpivo/SpatPCA
BugReports: https://github.com/egpivo/SpatPCA/issues
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 (Wang and Huang, 2017).
License: GPL-2
Imports: Rcpp, RcppParallel (>= 0.11.2)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
SystemRequirements: GNU make
Author: Wen-Ting Wang, Hsin-Cheng Huang
Maintainer: Wen-Ting Wang <egpivo@gmail.com>
NeedsCompilation: yes
Packaged: 2017-03-17 23:58:53 UTC; wen-tingwang
Repository: CRAN
Date/Publication: 2017-03-18 00:20:28 UTC
