This package is considered a duplicate. The official version of this package is found at:https://feiyoung.r-universe.dev/SpaCOAP

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.zip(r-4.7-x86_64)SpaCOAP_1.3.zip(r-4.7-arm64)SpaCOAP_1.3.zip(r-4.6-x86_64)SpaCOAP_1.3.zip(r-4.6-arm64)
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✨
DESCRIPTION
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:

openblas cpp openmp

2.30 score 268 downloads 3 exports 7 dependencies

Last updated from:7107687a6b. Checks:10 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	111
linux-devel-x86_64	OK	138
source / vignettes	OK	206
linux-release-arm64	OK	120
linux-release-x86_64	OK	136
windows-devel-arm64	OK	237
windows-devel-x86_64	OK	166
windows-release-arm64	OK	255
windows-release-x86_64	OK	129
wasm-release	OK	108