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.tar.gz(r-4.5-noble)COAP_1.2.tar.gz(r-4.4-noble)
COAP_1.2.tgz(r-4.4-emscripten)COAP_1.2.tgz(r-4.3-emscripten)
COAP.pdf |COAP.html✨
COAP/json (API)

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

Peer review:

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

openblascppopenmp

3.48 score 1 packages 547 downloads 3 exports 6 dependencies

Last updated 8 months agofrom:a320eee77a. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 29 2024
R-4.5-linux-x86_64OKDec 29 2024

Exports:gendata_simuRR_COAPselectParams

Dependencies:irlbalatticeMASSMatrixRcppRcppArmadillo

COAP: simulation

Wei Liu

Rendered fromCOAPsimu.Rmdusingknitr::rmarkdownon Dec 29 2024.

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