Package: SpaCOAP 1.2

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_1.2.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

openblascppopenmp

3.00 score 127 downloads 3 exports 7 dependencies

Last updated 7 months agofrom:7e8071939f. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 24 2024
R-4.5-linux-x86_64OKDec 24 2024

Exports:chooseParamsgendata_spacoapSpaCOAP

Dependencies:irlbaLaplacesDemonlatticeMASSMatrixRcppRcppArmadillo

SpaCOAP: mouse spleen dataset

Wei Liu

Rendered frommouseSpleen.Rmdusingknitr::rmarkdownon Dec 24 2024.

Last update: 2024-05-28
Started: 2024-05-28

SpaCOAP: simulation

Wei Liu

Rendered fromsimu.Rmdusingknitr::rmarkdownon Dec 24 2024.

Last update: 2024-05-28
Started: 2024-05-28