Package: SpatPCA
Type: Package
Title: Regularized Principal Component Analysis for Spatial Data
Version: 1.2.0.0
Date: 2018-02-20
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 (Wang and Huang, 2017, <DOI:10.1080/10618600.2016.1157483>). The method can be applied to either regularly or irregularly spaced
  data, including 1D, 2D, and 3D.
License: GPL-2
Imports: Rcpp, RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
SystemRequirements: GNU make
Author: Wen-Ting Wang, Hsin-Cheng Huang
Maintainer: Wen-Ting Wang <egpivo@gmail.com>
NeedsCompilation: yes
Packaged: 2018-02-20 14:42:51 UTC; wen-tingwang
Repository: CRAN
Date/Publication: 2018-02-20 22:44:51 UTC
