Package: SpaCOAP 1.2

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_1.2.tar.gz
SpaCOAP_1.2.zip(r-4.5)SpaCOAP_1.2.zip(r-4.4)SpaCOAP_1.2.zip(r-4.3)
SpaCOAP_1.2.tgz(r-4.4-x86_64)SpaCOAP_1.2.tgz(r-4.4-arm64)SpaCOAP_1.2.tgz(r-4.3-x86_64)SpaCOAP_1.2.tgz(r-4.3-arm64)
SpaCOAP_1.2.tar.gz(r-4.5-noble)SpaCOAP_1.2.tar.gz(r-4.4-noble)
SpaCOAP_1.2.tgz(r-4.4-emscripten)SpaCOAP_1.2.tgz(r-4.3-emscripten)
SpaCOAP.pdf |SpaCOAP.html✨
SpaCOAP/json (API)

# Install 'SpaCOAP' in R:

install.packages('SpaCOAP', repos = c('https://feiyoung.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:

4.30 score 130 downloads 3 exports 7 dependencies

Last updated 6 months agofrom:5411bd6c8e. Checks:OK: 1 WARNING: 8. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 25 2024
R-4.5-win-x86_64	WARNING	Oct 25 2024
R-4.5-linux-x86_64	WARNING	Oct 25 2024
R-4.4-win-x86_64	WARNING	Oct 25 2024
R-4.4-mac-x86_64	WARNING	Oct 25 2024
R-4.4-mac-aarch64	WARNING	Oct 25 2024
R-4.3-win-x86_64	WARNING	Oct 25 2024
R-4.3-mac-x86_64	WARNING	Oct 25 2024
R-4.3-mac-aarch64	WARNING	Oct 25 2024