SpatPCA-package: Regularized Principal Component Analysis for Spatial Data
In SpatPCA: Regularized Principal Component Analysis for Spatial Data
SpatPCA-package R Documentation
Regularized Principal Component Analysis for Spatial Data
Description
A new regularization approach to estimate the leading spatial patterns via smoothness and sparseness penalties, and spatial predictions for spatial data that may be irregularly located in space (including 1D, 2D and 3D), and obtain the spatial prediction at the designated locations.
Details
Package: SpatPCA
Type: Package
Version: 1.3.3.4
Date: 2021-02-11
License: GPL version 3
Author(s)
Wen-Ting Wang <egpivo@gmail.com> and Hsin-Cheng Huang <hchuang@stat.sinica.edu.tw>
SpatPCA documentation built on Nov. 13, 2023, 5:06 p.m.
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| SpatPCA-package | R Documentation |
Regularized Principal Component Analysis for Spatial Data
Description
A new regularization approach to estimate the leading spatial patterns via smoothness and sparseness penalties, and spatial predictions for spatial data that may be irregularly located in space (including 1D, 2D and 3D), and obtain the spatial prediction at the designated locations.
Details
| Package: | SpatPCA |
| Type: | Package |
| Version: | 1.3.3.4 |
| Date: | 2021-02-11 |
| License: | GPL version 3 |
Author(s)
Wen-Ting Wang <egpivo@gmail.com> and Hsin-Cheng Huang <hchuang@stat.sinica.edu.tw>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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