Bain: A program for Bayesian testing of order constrained hypotheses in structural equation models

Xin Gu*, Herbert Hoijtink, Joris Mulder, Y. Rosseel

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

This paper presents a new statistical method and accompanying software for the evaluation of order constrained hypotheses in structural equation models (SEM). The method is based on a large sample approximation of the Bayes factor using a prior with a data-based correlational structure. An efficient algorithm is written into an R package to ensure fast computation. The package, referred to as Bain, is easy to use for applied researchers. Two classical examples from the SEM literature are used to illustrate the methodology and software.
Original languageEnglish
Pages (from-to)1526-1553
JournalJournal of Statistical Computation and Simulation
Volume89
Issue number8
DOIs
Publication statusPublished - 2019

Keywords

  • Approximate Bayesian procedure
  • Bayes factors
  • FORTRAN-90 PROGRAM
  • INEQUALITY
  • order constrained hypothesis
  • structural equation model

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