Beta Factor Model
Overview
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) doi:10.1007/s00180-022-01270-z.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK5 OK2026-05-19
Documentation
- Help pages
- 6
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing BFM adds 3 packages (1 with compiled code, 2.8 MB of source tarballs). Heaviest: GPArotation 1.6 MB, psych 1.1 MB, mnormt 63 KB.
Code & Tests
Datasets
People & History
- 0.2.11Latest2026-05-18 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-05-18
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 6.1 KB / 4 files
- Download size
- 13 KB
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