Package: MultiCOAP
Type: Package
Title: High-Dimensional Covariate-Augmented Overdispersed Multi-Study
        Poisson Factor Model
Version: 1.1
Date: 2024-03-06
Authors@R: 
    c(person(given = "Wei",
             family = "Liu",
             role = c("aut", "cre"),
             email = "liuweideng@gmail.com"),
      person(given = "Qingzhi",
             family = "Zhong",
             role = c("aut")))
Author: Wei Liu [aut, cre],
  Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
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) <doi:10.48550/arXiv.2402.15071>.
License: GPL-3
Depends: irlba, R (>= 3.5.0)
Imports: MASS, Rcpp (>= 1.0.10)
URL: https://github.com/feiyoung/MultiCOAP
BugReports: https://github.com/feiyoung/MultiCOAP/issues
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2024-03-06 10:36:51 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2024-03-07 10:40:05 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 18:31:32 UTC; unix
Archs: MultiCOAP.so.dSYM
