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.
| Version: | 1.1.1.1 |
| Imports: | Rcpp, RcppParallel (≥ 0.11.2) |
| LinkingTo: | Rcpp, RcppArmadillo, RcppParallel |
| Published: | 2016-05-27 |
| Author: | Wen-Ting Wang and Hsin-Cheng Huang |
| Maintainer: | Wen-Ting Wang <egpivo at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| CRAN checks: | SpatPCA results |
| Reference manual: | SpatPCA.pdf |
| Package source: | SpatPCA_1.1.1.1.tar.gz |
| Windows binaries: | r-devel: SpatPCA_1.1.1.1.zip, r-release: SpatPCA_1.1.1.1.zip, r-oldrel: SpatPCA_1.1.1.1.zip |
| OS X Mavericks binaries: | r-release: SpatPCA_1.1.1.1.tgz, r-oldrel: SpatPCA_1.1.1.1.tgz |
| Old sources: | SpatPCA archive |
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