New BayesFactor version 0.9.9 released to CRAN

October 22, 2014
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(This article was first published on BayesFactor: Software for Bayesian inference, and kindly contributed to R-bloggers)

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

To leave a comment for the author, please follow the link and comment on their blog: BayesFactor: Software for Bayesian inference.

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