High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-05-02
- NOTE11 OK, 1 NOTE2026-04-25
- OK14 OK2026-04-22
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- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-04-16
- NOTE13 OK, 1 NOTE2026-03-28
- OK14 OK2026-03-10
Documentation
- Help pages
- 3
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 93%
- Return-value docs
- 100%
- Help pages citing references
- 100%
- COAP: simulation HTML
Downloads
Repository
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/feiyoung/coap on 2026-10-22.
GitHub Pages site last deployed 2024-05-02
Dependencies
Installing COAP adds 3 packages (3 with compiled code, 3.2 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, irlba 375 KB.
Code & Tests
People & History
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.3Latest
- 1.22024-05-02 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.12024-02-29
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-02-29
- Total releases
- 3 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 30 KB
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