spots: Spatial Component Analysis

The spots package is designed for spatial omics (10x Visium, etc.) data analysis. It performs various statistical analyses and tests, including spatial component analysis (SCA), both global and local spatial statistics, such as univariate and bivariate Moran's I, Getis-Ord Gi* statistics, etc. See Integrated protein and transcriptome high-throughput spatial profiling (2022) <doi:10.1101/2022.03.15.484516> for more details.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: Matrix, RSpectra, tools, utils, methods, stats
Suggests: ape, knitr, rmarkdown, testthat (≥ 3.0.0), covr
Published: 2022-05-03
Author: X. Steve Niu ORCID iD [aut, cre]
Maintainer: X. Steve Niu <xin2001 at med.cornell.edu>
BugReports: https://github.com/stevexniu/spots/issues
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: spots results

Documentation:

Reference manual: spots.pdf

Downloads:

Package source: spots_0.1.0.tar.gz
Windows binaries: r-devel: spots_0.1.0.zip, r-release: spots_0.1.0.zip, r-oldrel: spots_0.1.0.zip
macOS binaries: r-release (arm64): spots_0.1.0.tgz, r-oldrel (arm64): spots_0.1.0.tgz, r-release (x86_64): spots_0.1.0.tgz, r-oldrel (x86_64): spots_0.1.0.tgz

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