Package: SpaCOAP
Type: Package
Title: High-Dimensional Spatial Covariate-Augmented Overdispersed
        Poisson Factor Model
Version: 1.2
Date: 2024-05-26
Authors@R: 
    c(person(given = "Wei",
             family = "Liu",
             role = c("aut", "cre"),
             email = "liuwei8@scu.edu.cn"),
      person(given = "Qingzhi",
             family = "Zhong",
             role = c("aut")))
Author: Wei Liu [aut, cre],
  Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuwei8@scu.edu.cn>
Description: 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.
License: GPL-3
URL: https://github.com/feiyoung/SpaCOAP
BugReports: https://github.com/feiyoung/SpaCOAP/issues
Imports: LaplacesDemon,stats, methods, Matrix, MASS, Rcpp (>= 1.0.10)
Depends: irlba, R (>= 3.5.0)
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2024-05-26 06:27:12 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2024-05-27 14:50:02 UTC
Built: R 4.4.0; x86_64-apple-darwin20; 2024-05-31 05:50:40 UTC; unix
Archs: SpaCOAP.so.dSYM
