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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BFM" in publications use:'
type: software
license: MIT
title: 'BFM: Beta Factor Model'
version: 0.2.11
abstract: Provides tools for factor analysis in financial and econometric settings
  under Beta factor models. It includes functions to simulate factor-model data with
  Beta-distributed idiosyncratic components (e.g., standard Beta, scaled Beta, and
  truncated Beta distributions) and to conduct model diagnostic assessments such as
  likelihood ratio tests for factor number selection and goodness-of-fit tests for
  Beta distribution assumptions. Estimation routines encompass maximum likelihood
  estimation for finite-dimensional Beta factor models, regularized Beta factor analysis
  for high-dimensional datasets, and shrinkage-based estimation for robust Beta factor
  loading recovery in noisy or incomplete data environments. The package's methodological
  framework is detailed in Guo G. (2023) <https://doi.org/10.1007/s00180-022-01270-z>.
authors:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com
- family-names: Feng
  given-names: Jiahui
  email: fengjh0601@163.com
repository: https://cran.r-universe.dev
commit: 9083e25fdd455788853297cb1d5af55af9e66f77
date-released: '2026-05-18'
contact:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com