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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 |
Reference manual: | COAP.pdf |
Vignettes: |
COAP: simulation |
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 |
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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.