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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
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

Linking:

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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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