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
Repository: https://feiyoung.r-universe.dev
Date/Publication: 2024-10-26 11:53:45 UTC
RemoteUrl: https://github.com/feiyoung/multicoap
RemoteRef: HEAD
RemoteSha: 0acf705cc5106beacc599af6ac9bacfe95ef852a
NeedsCompilation: yes
Packaged: 2026-06-24 03:53:48 UTC; root