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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "transGFM" in publications use:'
type: software
license: GPL-3.0-only
title: 'transGFM: Transfer Learning for Generalized Factor Models'
version: 1.0.2
doi: 10.32614/CRAN.package.transGFM
abstract: 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.
authors:
- family-names: Wang
  given-names: Zhijing
  email: wangzhijing@sjtu.edu.cn
- family-names: Xu
  given-names: Peirong
- family-names: Zhao
  given-names: Hongyu
- family-names: Wang
  given-names: Tao
repository: https://zjwangatsu.r-universe.dev
repository-code: https://github.com/zjwangATsu/transGFM
commit: 537e182ed7b0dbd4ffe3caeb823741a8fb84fb0b
url: https://github.com/zjwangATsu/transGFM
date-released: '2026-01-08'
contact:
- family-names: Wang
  given-names: Zhijing
  email: wangzhijing@sjtu.edu.cn