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Informative Hypotheses

Software

The software that is listed below is free and can be used to analyse your data. All the packages have extensively been tested, but we cannot guarantee that an error will never occur. If you want to receive a notification when the software on this page is updated, send an e-mail containing the line: “Send update-info for informative hypotheses software” to informative.hypotheses@uu.nl.

All the software is licensed under the GNU General Public License Version >=2      

General statistical models

  • BIG is a Fortran 90 program for Bayesian evaluation of inequality constrained hypotheses for general statistical models.
  • BF-SEM is a Fortran 90 program for Bayesian evaluation of inequality constrained hypotheses for general statistical models. Compared to BIG, BF-SEM is much faster and has two options of prior specification.
  • BaIn is a Fortran 90 program for Bayesian evaluation of informative hypotheses. The informative hypothesis consists of equality and/or inequality constraints.

Multivariate Normal Linear Models (MANOVA, Repeated Measures, Multivariate Regression)

  • BIEMS is a Fortran 90 program for calculating Bayes Factors for inequality and equality constrained models.
  • GenMVLData is software that can be used for the generation and simulation of data according to the multivariate normal linear model.
  • GORIC (Generalized Order-Restricted Information Criterion) is a software package that calculates a generalization of the Akaike information criterion for traditional and order restricted hypotheses.

Univariate Normal (ANOVA, ANCOVA)

  • ConfirmatoryANOVA is software that can be used for the evaluation of informative hypotheses with both Bayesian and non-Bayesian approaches in the context of ANOVA models
  • The Bayesian model selection program can be used for the evaluation of informative hypotheses in the context of ANOVA and ANCOVA.

Contingency Tables

  • ContingencyTable is software that can be used for the evaluation of informative hypotheses in the context of contingency tables.