Releases: richarddmorey/BayesFactor
Releases · richarddmorey/BayesFactor
0.9.12-2 CRAN
CHANGES IN BayesFactor VERSION 0.9.12-2
CHANGES
- Added feature allowing fine-tuning of priors on a per-effect basis: see new argument
rscaleEffects of lmBF, anovaBF, and generalTestBF - Fixed bug that disallowed logical indexing of probability objects
- Fixed minor typos in documentation
- Fixed bug causing regression Bayes factors to fail for very small R^2
- Fixed bug disallowing expansion of dot (.) in generalTestBF model specifications
- Fixed bug preventing cancelling of all analyses with interrupt
- Restricted contingency prior to values >=1
- All BFmodel objects have additional "analysis" slot giving details of analysis
0.9.11-1 CRAN
CHANGES IN BayesFactor VERSION 0.9.11-1
CHANGES
-
Fixed memory bug causing importance sampling to fail.
CHANGES IN BayesFactor VERSION 0.9.11
CHANGES
- Added support for prior/posterior odds and probabilities. See the new vignette for details.
- Added approximation for t test in case of large t
- Made some error messages clearer
- Use callbacks at least once in all cases
- Fix bug preventing continuous interactions from showing in regression Gibbs sampler
- Removed unexported function oneWayAOV.Gibbs(), and related C functions, due to redundancy
- gMap from model.matrix is now 0-indexed vector (for compatibility with C functions)
- substantial changes to backend, to Rcpp and RcppEigen for speed
- removed redundant struc argument from nWayAOV (use gMap instead)
0.9.10-2 CRAN
CHANGES IN BayesFactor VERSION 0.9.10-2
CHANGES
- Removed "see also" to package BAS, due to its being archived
0.9.10-1 CRAN
CHANGES IN BayesFactor VERSION 0.9.10-1
CHANGES
- Fixed issue causing Solaris build to fail
0.9.10 CRAN
CHANGES IN BayesFactor VERSION 0.9.10
CHANGES
- Fixed bug in model enumeration code in generalTestBF (affected "withmain" analyses with neverExclude argument)
- Various bug fixes
- Analyses are more error tolerant (problem analyses will yield NA in BayesFactor object)
- Fixed some typos in citation information
- Improved numerical stability of proportional error estimates
0.9.9 CRAN
CHANGES IN BayesFactor VERSION 0.9.9
CHANGES
- 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 test for single proportion; see proportionBF()
- Added support for contingency tables; see contingencyBF()
- 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
- Refactored t test and meta-t test code
- 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
0.9.8 CRAN
CHANGES IN BayesFactor VERSION 0.9.8
CHANGES
- Fixed bugs in model enumeration code
- Fixed bug leading to wrong computation of number of covariate when interactions between continuous variables were included
- Corrected typos/old information in the documentation
- Fixed a memory allocation bug that affected computing Bayes factors with lots of data
- Added meta-analytic Bayes factor for t tests (see meta.ttestBF)
- Fixed bug in ttestBF that yielded Bayes factor of NaN for very extreme posterior interval probabilities
- Fixed several bugs causing infinite integrals; generally improved integration
- Added check to ensure no missing data before analyses
- Added callbacks for access by third-party interfaces