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:Sixing Hao [aut, cre]

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.00 score 50 dependencies 2 scripts 246 downloads

Last updated 2 years agofrom:c811794df9. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-linuxOKSep 01 2024

Exports:BSSSd_scoregen_matern_gaussian_rf

Dependencies:backportsbroomclassclassIntcliclueclustercpp11DBIDEoptimRdistancesdplyre1071expmfansifmeshergenericsglueJADEKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigproxypurrrR6RcppRcppArmadillorlangrobustbaserSPDEs2sfspSpatialBSSSpatialNPstringistringrtibbletidyrtidyselectunitsutf8vctrswithrwk

Introduction to BSSoverSpace

Rendered frommy_vignette.Rmdusingknitr::rmarkdownon Sep 01 2024.

Last update: 2022-11-10
Started: 2022-11-10