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: 1.3 Depends: irlba, R (≥ 3.5.0) Imports: LaplacesDemon, stats, methods, Matrix, MASS, Rcpp (≥ 1.0.10) LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown Published: 2025-03-27 DOI: 10.32614/CRAN.package.SpaCOAP 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 CRAN checks: SpaCOAP results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SpaCOAP to link to this page.
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