New BayesFactor version 0.9.9 released to CRAN

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:

• 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 meta t test sampler which wouldn't allow sampling small numbers of MCMC samples