Package: BSSoverSpace 0.1.0
Sixing Hao
BSSoverSpace: Blind Source Separation for Multivariate Spatial Data using Eigen Analysis
Provides functions for blind source separation over multivariate spatial data, and useful statistics for evaluating performance of estimation on mixing matrix. 'BSSoverSpace' is based on an eigen analysis of a positive definite matrix defined in terms of multiple normalized spatial local covariance matrices, and thus can handle moderately high-dimensional random fields. This package is an implementation of the method described in Zhang, Hao and Yao (2022)<arxiv:2201.02023>.
Authors:
BSSoverSpace_0.1.0.tar.gz
BSSoverSpace_0.1.0.tar.gz(r-4.5-noble)BSSoverSpace_0.1.0.tar.gz(r-4.4-noble)
BSSoverSpace_0.1.0.tgz(r-4.4-emscripten)BSSoverSpace_0.1.0.tgz(r-4.3-emscripten)
BSSoverSpace.pdf |BSSoverSpace.html✨
BSSoverSpace/json (API)
| # Install 'BSSoverSpace' in R: |
| install.packages('BSSoverSpace', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:c811794df9. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
Exports:BSSSd_scoregen_matern_gaussian_rf
Dependencies:backportsbroomclassclassIntcliclueclustercpp11DBIDEoptimRdistancesdplyre1071expmfansifmeshergenericsglueJADEKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigproxypurrrR6RcppRcppArmadillorlangrobustbaserSPDEs2sfspSpatialBSSSpatialNPstringistringrtibbletidyrtidyselectunitsutf8vctrswithrwk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Blind Source Separation Over Space | BSSS |
| d score | d_score |
| Generating Gaussian random fields with Matern covariance function | gen_matern_gaussian_rf |