== EasyABC changelog == === Version 1.5.1 === * Bugfix in SABC implementation * fix email adress of maintainer * bugfix in distance computation considering weights, thanks to Clémentine Straub === Version 1.5 === * new algorithm introduced by Carlo Albert: Simulated Annealing * bugfix in Delmoral implementation distance computation (thanks to Milton Pifano) * bugfixes from Stephen Nawara === Version 1.4 === * optional weighted euclidean distance (suggested by Wim Delva and Maxime Lenormand) * new method based on emulation * bugfixes in cluster mode * bugfix: NA values for summary statistics are excluded from the computed points === Version 1.3.1 === * bugfix in cluster mode for MCMC functions * feature restored: constants description in prior === Version 1.3 === * bugfix in compute_dist methods (thanks to Matteo Fasiolo): variance is now fixed in a better way * some code optimizations thanks to Matteo Fasiolo * possibility to use user-defined prior distributions * possibility to add constraints to prior distributions (e.g. parameter 1 < parameter 2) * examples of how to link Java models or shell scripts to EasyABC === Version 1.2.2 - 3 June 2013 === * bugfix in data reading from system call in binary_model function (bug reported by Albert Ko) * fixes for line width compliance with R-devel === Version 1.2.1 - 17 May 2013 === * compilation fix for Solaris === Version 1.2 - 27 February 2013 === * intermediary results are stored in a list for sequential algorithms (with the option verbose=TRUE) * various minor corrections in the help files and in the vignette. === Version 1.1 - 29 January 2013 === * simple toy model introduced for better examples * algorithm parameters have now default values * use_seed parameter is now set to False by default * four prior distributions are now availables: uniform, normal, lognormal and exponential * verbose mode enhanced * tigher integration of package abc for rejection method * bugfix: data handling when model take only one parameter