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Today I submitted a new release of BayesFactor, version 0.9.9, to CRAN. Among the new features are support for contingency table analyses, via the function contingencyTableBF, and analysis of a single proportion, via the function proportionBF. Other features and fixes include:Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
- Added “simple” argument to ttest.tstat, oneWayAOV.Fstat, and linearReg.R2stat; when TRUE, return only the Bayes factor (not the log BF and error)
- When sampling Bayes factors, recompute() now increases the precision of BayesFactor objects, rather than simply recomputing them. Precision from new samples is added
- Added Hraba and Grant (1970) data set; see ?raceDolls
- Added model.matrix method for BayesFactor objects; allows for extracting the design matrix used for an analysis
- recompute() now has multicore and callback support, as intended
- Moved many backend functions to Rcpp from R C API
- t test samplers now sample from interval null hypotheses and point null hypotheses where appropriate
- fixed bug in in t test sampler which wouldn’t allow sampling small numbers of MCMC samples
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