SpatPCA

Regularized Principal Component Analysis for Spatial Data

CRAN Package

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, ). The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D.

  • Version1.3.5
  • R version≥ 3.4.0
  • LicenseGPL-3
  • Needs compilation?Yes
  • Last release11/13/2023

Documentation

Team

Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN

Binaries

Dependencies

  • Depends1 package
  • Imports3 packages
  • Suggests15 packages
  • Linking To3 packages