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MultiCOAP  

High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model
View on CRAN: Click here


Download and install MultiCOAP package within the R console
Install from CRAN:
install.packages("MultiCOAP")

Install from Github:
library("remotes")
install_github("cran/MultiCOAP")

Install by package version:
library("remotes")
install_version("MultiCOAP", "1.1")



Attach the package and use:
library("MultiCOAP")
Maintained by
Wei Liu
[Scholar Profile | Author Map]
First Published: 2024-03-07
Latest Update: 2024-03-07
Description:
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) .
How to cite:
Wei Liu (2024). MultiCOAP: High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model. R package version 1.1, https://cran.r-project.org/web/packages/MultiCOAP. Accessed 23 Feb. 2025.
Previous versions and publish date:
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Complete documentation for MultiCOAP
Functions, R codes and Examples using the MultiCOAP R package
Full MultiCOAP package functions and examples
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