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
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuwei8 at scu.edu.cn>
BugReports: https://github.com/feiyoung/SpaCOAP/issues
License: GPL-3
URL: https://github.com/feiyoung/SpaCOAP
NeedsCompilation: yes
Materials: README
CRAN checks: SpaCOAP results

Documentation:

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

Downloads:

Package source: SpaCOAP_1.2.tar.gz
Windows binaries: r-devel: SpaCOAP_1.2.zip, r-release: SpaCOAP_1.2.zip, r-oldrel: SpaCOAP_1.2.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SpaCOAP to link to this page.