Computation of Bayes factors for interrupted time-series designs

The BayesSingleSub package is a suite of functions for computing various Bayes factors for interrupted time-series, based on the models described in de Vries and Morey (2013).


News

CHANGES IN BayesSingleSub VERSION 0.6.2

CHANGES

  • ttest.Gibbs.AR() and trendtest.Gibbs.AR() can now return one sided Bayes factors if return.onesided is set to TRUE
  • New arguments in ttest.Gibbs.AR(): leftSided (should the one sided Bayes factor be left sided?) and return.onesided
  • New arguments in trendtest.Gibbs.AR(): leftSidedInt, leftSidedTrend, and return.onesided
  • All functions can now handle missing data
  • Restricted to R 3.0.0

Reference manual

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install.packages("BayesSingleSub")

0.6.2 by Richard D. Morey, 5 years ago


Browse source code at https://github.com/cran/BayesSingleSub


Authors: Richard D. Morey , Rivka de Vries


Documentation:   PDF Manual  


GPL-2 license


Imports coda, mvtnorm, MCMCpack

Suggests knitr


Suggested by Wats.


See at CRAN