Package: SpaCOAP 1.3

Wei Liu

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.

Authors:Wei Liu [aut, cre], Qingzhi Zhong [aut]

SpaCOAP_1.3.tar.gz
SpaCOAP_1.3.tar.gz(r-4.7-arm64)SpaCOAP_1.3.tar.gz(r-4.7-x86_64)SpaCOAP_1.3.tar.gz(r-4.6-arm64)SpaCOAP_1.3.tar.gz(r-4.6-x86_64)
SpaCOAP_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SpaCOAP/json (API)

# Install 'SpaCOAP' in R:
install.packages('SpaCOAP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/feiyoung/spacoap/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

2.30 score 136 downloads 3 exports 7 dependencies

Last updated from:7107687a6b. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK153
linux-devel-x86_64OK144
source / vignettesOK223
linux-release-arm64OK142
linux-release-x86_64OK145
wasm-releaseOK114

Exports:chooseParamsgendata_spacoapSpaCOAP

Dependencies:irlbaLaplacesDemonlatticeMASSMatrixRcppRcppArmadillo

SpaCOAP: mouse spleen dataset

Wei Liu

Rendered frommouseSpleen.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2025-03-27
Started: 2024-05-28

SpaCOAP: simulation

Wei Liu

Rendered fromsimu.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2025-03-27
Started: 2024-05-28