High-Performance Open-Source Archive
We introduce factor models designed to jointly analyze high-dimensional count data from multiple studies by extracting study-shared and specified factors. Our factor models account for heterogeneous noises and overdispersion among counts with augmented covariates. We propose an efficient and speedy variational estimation procedure for estimating model parameters, along with a novel criterion for selecting the optimal number of factors and the rank of regression coefficient matrix. 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, Rcpp (≥ 1.0.10) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2024-03-07 |
| DOI: | 10.32614/CRAN.package.MultiCOAP |
| Author: | Wei Liu [aut, cre], Qingzhi Zhong [aut] |
| Maintainer: | Wei Liu <liuweideng at gmail.com> |
| BugReports: | https://github.com/feiyoung/MultiCOAP/issues |
| License: | GPL-3 |
| URL: | https://github.com/feiyoung/MultiCOAP |
| NeedsCompilation: | yes |
| CRAN checks: | MultiCOAP results |
| Reference manual: | MultiCOAP.html , MultiCOAP.pdf |
| Package source: | MultiCOAP_1.1.tar.gz |
| Windows binaries: | r-devel: MultiCOAP_1.1.zip, r-release: MultiCOAP_1.1.zip, r-oldrel: MultiCOAP_1.1.zip |
| macOS binaries: | r-release (arm64): MultiCOAP_1.1.tgz, r-oldrel (arm64): MultiCOAP_1.1.tgz, r-release (x86_64): MultiCOAP_1.1.tgz, r-oldrel (x86_64): MultiCOAP_1.1.tgz |
| Reverse imports: | MMGFM |
Please use the canonical form https://CRAN.R-project.org/package=MultiCOAP to link to this page.
Need mirroring services?
Contact our team at info@vpspulse.com.
Mirror powered by VPSpulse
Infrastructure sponsored by VPSPulse & Secure Payments by ArionPay.