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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>.

Version: 1.2
Depends: irlba, R (≥ 3.5.0)
Imports: MASS, stats, Rcpp (≥ 1.0.10)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2024-05-02
DOI: 10.32614/CRAN.package.COAP
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_1.2.tar.gz
Windows binaries: r-devel: COAP_1.2.zip, r-release: COAP_1.2.zip, r-oldrel: COAP_1.2.zip
macOS binaries: r-release (arm64): COAP_1.2.tgz, r-oldrel (arm64): COAP_1.2.tgz, r-release (x86_64): COAP_1.2.tgz, r-oldrel (x86_64): COAP_1.2.tgz
Old sources: COAP archive

Reverse dependencies:

Reverse imports: RMFM

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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