Package: transGFM
Type: Package
Title: Transfer Learning for Generalized Factor Models
Version: 1.0.2
Date: 2026-01-08
Authors@R: c(person("Zhijing", "Wang", email = "wangzhijing@sjtu.edu.cn", role = c("aut", "cre")),
             person("Peirong", "Xu", role = "aut"),
             person("Hongyu", "Zhao", role = "aut"),
             person("Tao", "Wang", role = "aut"))
Maintainer: Zhijing Wang <wangzhijing@sjtu.edu.cn>
Description: Transfer learning for generalized factor models with
        support for continuous, count (Poisson), and binary data types.
        The package provides functions for single and multiple source
        transfer learning, source detection to identify positive and
        negative transfer sources, factor decomposition using Maximum
        Likelihood Estimation (MLE), and information criteria ('IC1'
        and 'IC2') for rank selection. The methods are particularly
        useful for high-dimensional data analysis where auxiliary
        information from related source datasets can improve estimation
        efficiency in the target domain.
License: GPL-3
URL: https://github.com/zjwangATsu/transGFM
BugReports: https://github.com/zjwangATsu/transGFM/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
RoxygenNote: 7.3.2
Repository: https://zjwangatsu.r-universe.dev
Date/Publication: 2026-01-08 04:52:07 UTC
RemoteUrl: https://github.com/zjwangatsu/transgfm
RemoteRef: HEAD
RemoteSha: 537e182ed7b0dbd4ffe3caeb823741a8fb84fb0b
NeedsCompilation: no
Packaged: 2026-10-06 10:29:03 UTC; root
Author: Zhijing Wang [aut, cre],
  Peirong Xu [aut],
  Hongyu Zhao [aut],
  Tao Wang [aut]