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 |
| Reference manual: | COAP.pdf |
| Vignettes: |
COAP: simulation |
| Package source: | COAP_1.1.tar.gz |
| Windows binaries: | r-devel: COAP_1.1.zip, r-release: COAP_1.1.zip, r-oldrel: COAP_1.1.zip |
| macOS binaries: | r-release (arm64): COAP_1.1.tgz, r-oldrel (arm64): COAP_1.1.tgz, r-release (x86_64): COAP_1.1.tgz, r-oldrel (x86_64): COAP_1.1.tgz |
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