Package: COAP 1.3

Wei Liu

COAP: High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model

A covariate-augmented overdispersed Poisson factor model is proposed to jointly perform a high-dimensional Poisson factor analysis and estimate a large coefficient matrix for overdispersed count data. More details can be referred to Liu et al. (2024) <doi:10.1093/biomtc/ujae031>.

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

COAP_1.3.tar.gz
COAP_1.3.tar.gz(r-4.7-arm64)COAP_1.3.tar.gz(r-4.7-x86_64)COAP_1.3.tar.gz(r-4.6-arm64)COAP_1.3.tar.gz(r-4.6-x86_64)
COAP_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
COAP/json (API)

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

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

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

On CRAN:

Conda:

openblascppopenmp

3.18 score 1 packages 10 scripts 266 downloads 3 exports 6 dependencies

Last updated from:86729fb398. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK150
linux-devel-x86_64OK143
source / vignettesOK192
linux-release-arm64OK134
linux-release-x86_64OK142
wasm-releaseOK113

Exports:gendata_simuRR_COAPselectParams

Dependencies:irlbalatticeMASSMatrixRcppRcppArmadillo

COAP: simulation

Wei Liu

Rendered fromCOAPsimu.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2024-03-01
Started: 2024-03-01