SpatPCA: Regularized Principal Component Analysis for Spatial Data
Version 1.1.1.2

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).

Package details

AuthorWen-Ting Wang, Hsin-Cheng Huang
Date of publication2017-03-18 00:20:28 UTC
MaintainerWen-Ting Wang <[email protected]>
LicenseGPL-2
Version1.1.1.2
URL https://github.com/egpivo/SpatPCA
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SpatPCA")

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SpatPCA documentation built on May 29, 2017, 9:03 a.m.