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MultiCOAP

1.1

High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model

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Overview

About
Maintained by Wei LiuFirst published 2024-03-071 releasesCRAN page ↗GitHub ↗

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.

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Slowest check: 3.0 min · r-oldrel-windows-x86_64
Code health
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Tests · ratio 0.00
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Coverage
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Documentation · exports
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  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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  • OK2026-04-22
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  • OK2026-04-16
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  • NOTE2026-03-28
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  • OK2026-03-10
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Documentation

Documentation
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Examples that run
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Documented parameters
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Return-value docs
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References docs
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Repository

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Last activity 2024-10-26

Repository practices

Upstream repositoryBeta

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Checks run against github.com/feiyoung/multicoap on 2026-07-26.

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Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.5.0irlba
Imports (2)
MASSRcpp
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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0indirect

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2024-03-07
Total releases
1 / 2 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Download size
14 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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