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).
CHANGES IN BayesSingleSub VERSION 0.6.2
- 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