Changes in version 2.5 - new fecrtCI method based on Levecke B, et al. (2015). Changes in version 2.4 (2023-10-14) - Update to new rstan version for future compatibility Changes in version 2.3 (2020-01-19) - No longer requiring integer correction factors Changes in version 2.2-1 (2019-09-26) - Updated makevars files - Fixed a bug in the unpaired model (thanks to Paul) - Improved documentation - Improved examples - Improved printing of warning messages Changes in version 2.1-2 (2018-11-09) - Improved usability of fecr_stanExtra() - Fixed a minor bug in stan2mcmc() for paired model - Updated citation information, URL - Updated Stan version requirement Changes in version 2.0 (2018-05-02) - Added individual efficacy model for paired design - Added vignette - Added functions for selecting priors in small sample size (<10) settings - Added simplified model for small sample sizes in paired design - Added fecr_stanExtra() to import external models hosted on gitHub - Improved function documentations - Modified default arguments: nsamples, nburnin, nchain, zeroInflation - Fixed parameter sampling issue in using the unpaired model without zero inflation - Added simple MCMC convergence diagnostic output based on split chain potential scale reduction factors - Added possibility to not save all model parameters in fec_stan() and fecr_stan() - Added possibility to simulate with different efficacy in simData2s() - Re-named function fecr_probability() to fecr_probs() - Added 'plot' argument in fecr_probs() to plot posterior density of reduction - Added warnings in using fecrtCI() when all of post-treatment counts are zero - Added warnings in using fec_stan() and fecr_stan() when divergent transitions occur - Cleaned Stan models code - Removed un-used dataset Changes in version 1.4 (2017-08-03) - Modified default arguments for fec_stan and fecr_stan - Optimized package onLoad messages - Added plotCounts function - Corrected fec_stan help file examples (thanks to Ivailo) - Corrected coding error with non-default prior for ziunpaired model (thanks to Anja) Changes in version 1.3 (2017-01-25) - Fixed bug in printing MCMC summaries for meanEPG - Fixed implementation bug of the zero-inflation models that was in v1.2 - Fixed minor bug in printing warnings - Added function to compute probability of reduction based on posterior density - Added flexibility to un-constrain reduction between 0 and 1 - Updated citation information Changes in version 1.2 (2016-11-08) - Allowed direct extraction of summary output - Fixed minor bug in validating correction factors - Fixed minor bug in converting multiple mcmc chains - Updated citation information Changes in version 1.1-2 (2016-10-17) - Updated documentation - Removed redundant functions - Updated LinkingTo version requirements - Updated Stan program syntax - Fixed minor bug in the mcmc output of the 1-sample zero-inflation model Changes in version 1.0 (2016-04-16) - MCMC inference migrated from Metropolis-Hastlings algorithm and Gibbs sampler to Stan modelling language. - Further improved bug fix of version 0.4. - Improved models. - Full-support on zero-inflation models. Changes in version 0.4-1 (2015-02-13) - Bug fixes introduced since version 0.1. - Further improved bug fix of version 0.3. - Alerts the user in case of atypical data through 'NOTE'. - Added verboselevel functionality for detailed debugging. - Improved help and added tests. Changes in version 0.3 (2014-09-06) - stable release on CRAN - Updated package structure: NEWS, ChangeLog and CITATION files. - Bug fix: all "zero" draws from rgamma are captured and set to minrgamma=.Machine$double.eps. Thus numerical results are likely to change.