bain computes approximated adjusted fractional Bayes factors for testing equality, inequality, and about equality constrained hypotheses. The method is detailed in multiple peer-reviewed publications, including a 2019 tutorial in Psychological Methods. It has been applied in fields like structural equation modeling, as shown in a 2021 paper in Structural Equation Modeling: A Multidisciplinary Journal.
Use Cases
- Compare competing informative hypotheses based on inequality constraints.
- Evaluate model fit in structural equation modeling based on the described application.
- use_cases: [
- Compare competing inequality-constrained hypotheses in psychological research based on the method's focus.
- Evaluate model fit in structural equation modeling based on the described application.
- Perform Bayesian hypothesis testing for 'about equality' constraints based on the described functionality.
- Teach or learn advanced Bayesian model comparison techniques based on the linked tutorial.
Strengths
- Method is supported by multiple peer-reviewed publications, including a 2019 tutorial.
- Software has documented applications in structural equation modeling, as per a 2021 paper.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Xin Gu
- Collection Method
- Statistical software package for computing Bayes factors.