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:10.48550/arXiv.2402.15071>.

Version: 1.1
Depends: irlba, R (≥ 3.5.0)
Imports: MASS, stats, Rcpp (≥ 1.0.10)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2024-02-29
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuweideng at gmail.com>
BugReports: https://github.com/feiyoung/COAP/issues
License: GPL-3
URL: https://github.com/feiyoung/COAP
NeedsCompilation: yes
Materials: README
CRAN checks: COAP results

Documentation:

Reference manual: COAP.pdf
Vignettes: COAP: simulation

Downloads:

Package source: COAP_1.1.tar.gz
Windows binaries: r-prerel: COAP_1.1.zip, r-release: COAP_1.1.zip, r-oldrel: COAP_1.1.zip
macOS binaries: r-prerel (arm64): COAP_1.1.tgz, r-release (arm64): COAP_1.1.tgz, r-oldrel (arm64): COAP_1.1.tgz, r-prerel (x86_64): COAP_1.1.tgz, r-release (x86_64): COAP_1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=COAP to link to this page.