SpatPCA: Regularized Principal Component Analysis for Spatial Data
Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigen-functions 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.
| Version: | 1.3.8 |
| Depends: | R (≥ 3.4.0) |
| Imports: | Rcpp (≥ 1.0.12),ggplot2, parallel |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | knitr,rmarkdown,testthat (≥ 2.1.0),dplyr (≥ 1.0.3),tidyr,fields,scico,plot3D,pracma,RColorBrewer,maps,covr,styler,V8 |
| Published: | 2025-09-28 |
| DOI: | 10.32614/CRAN.package.SpatPCA |
| Author: | Wen-Ting Wang [aut, cre], Hsin-Cheng Huang [aut] |
| Maintainer: | Wen-Ting Wang <egpivo at gmail.com> |
| BugReports: | https://github.com/egpivo/SpatPCA/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://egpivo.github.io/SpatPCA/,https://github.com/egpivo/SpatPCA |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README,NEWS |
| CRAN checks: | SpatPCA results |
Documentation:
Downloads:
| Package source: | SpatPCA_1.3.8.tar.gz |
| Windows binaries: | r-devel:SpatPCA_1.3.8.zip, r-release:SpatPCA_1.3.8.zip, r-oldrel:SpatPCA_1.3.8.zip |
| macOS binaries: | r-release (arm64):SpatPCA_1.3.8.tgz, r-oldrel (arm64):SpatPCA_1.3.8.tgz, r-release (x86_64):SpatPCA_1.3.8.tgz, r-oldrel (x86_64):SpatPCA_1.3.8.tgz |
| Old sources: | SpatPCA archive |
Linking:
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