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-4.7)SpaCOAP_1.2.zip(r-4.6)SpaCOAP_1.2.zip(r-4.5)
SpaCOAP_1.2.tgz(r-4.6-x86_64)SpaCOAP_1.2.tgz(r-4.6-arm64)SpaCOAP_1.2.tgz(r-4.5-x86_64)SpaCOAP_1.2.tgz(r-4.5-arm64)
SpaCOAP_1.2.tar.gz(r-4.7-arm64)SpaCOAP_1.2.tar.gz(r-4.7-x86_64)SpaCOAP_1.2.tar.gz(r-4.6-arm64)SpaCOAP_1.2.tar.gz(r-4.6-x86_64)
SpaCOAP_1.2.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://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:

openblas cpp openmp

4.00 score 165 downloads 3 exports 7 dependencies

Last updated from:5411bd6c8e. Checks:11 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	WARNING	152
linux-devel-x86_64	WARNING	165
source / vignettes	OK	217
linux-release-arm64	WARNING	152
linux-release-x86_64	WARNING	146
macos-release-arm64	WARNING	178
macos-release-x86_64	WARNING	180
macos-oldrel-arm64	WARNING	122
macos-oldrel-x86_64	WARNING	246
windows-devel	WARNING	143
windows-release	WARNING	137
windows-oldrel	WARNING	125
wasm-release	OK	109