SpaCOAP: High-Dimensional Spatial Covariate-Augmented Overdispersed Poisson Factor Model

A spatial covariate-augmented overdispersed Poisson factor model is proposed to perform efficient latent representation learning method for high-dimensional large-scale spatial count data with additional covariates.

Version: 1.2
Depends: irlba, R (≥ 3.5.0)
Imports: LaplacesDemon, stats, methods, Matrix, MASS, Rcpp (≥ 1.0.10)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2024-05-27
DOI: 10.32614/CRAN.package.SpaCOAP
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuwei8 at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: SpaCOAP results


Reference manual: SpaCOAP.pdf
Vignettes: SpaCOAP: mouse spleen dataset
SpaCOAP: simulation


Package source: SpaCOAP_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SpaCOAP_1.2.tgz, r-oldrel (arm64): SpaCOAP_1.2.tgz, r-release (x86_64): SpaCOAP_1.2.tgz, r-oldrel (x86_64): SpaCOAP_1.2.tgz


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