Package: COAP 1.2

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_1.2.tar.gz
COAP_1.2.zip(r-4.7)COAP_1.2.zip(r-4.6)COAP_1.2.zip(r-4.5)
COAP_1.2.tgz(r-4.6-x86_64)COAP_1.2.tgz(r-4.6-arm64)COAP_1.2.tgz(r-4.5-x86_64)COAP_1.2.tgz(r-4.5-arm64)
COAP_1.2.tar.gz(r-4.7-arm64)COAP_1.2.tar.gz(r-4.7-x86_64)COAP_1.2.tar.gz(r-4.6-arm64)COAP_1.2.tar.gz(r-4.6-x86_64)
COAP_1.2.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://feiyoung.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:

openblas cpp openmp

4.18 score 1 packages 10 scripts 278 downloads 3 exports 6 dependencies

Last updated from:4af80176b8. Checks:11 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	WARNING	132
linux-devel-x86_64	WARNING	122
source / vignettes	OK	198
linux-release-arm64	WARNING	127
linux-release-x86_64	WARNING	135
macos-release-arm64	WARNING	98
macos-release-x86_64	WARNING	255
macos-oldrel-arm64	WARNING	110
macos-oldrel-x86_64	WARNING	182
windows-devel	WARNING	117
windows-release	WARNING	122
windows-oldrel	WARNING	151
wasm-release	OK	101