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added thin to fit/run_emc which can either be set to TRUE to automatically thin based on ESS, or on a numeric to only keep 1/x samples
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added probit/SDT model for bimanual choices
- Rare bug in sampling removed
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Small bug fixes in plot_data to make it more flexible
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cleared up argumentation of run_emc/fit
- model_averaging function, which allows you to compare evidence for an effect across a set of models
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Small hotfix in which creating proposals and the start of burn would sometimes fail for large number of subjects
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Patched up old error in which model bounds weren't considered in data generation
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Fixed error in which compare_subject would return IC for whole dataset for every subject.
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IMPORTANT: to keep your old samples compatible with current EMC2, run update2version()
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IMPORTANT: Design and prior are now also S3 methods with their own S3 classes, see EMC2 paper
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plot_fit is deprecated and has branched of into plot_density, plot_cdf and plot_stat
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sampled_p_vector is deprecated and is now named sampled_pars
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Added a design_plot function, which makes a plot of the proposed accumulation process
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Sampling is completely reworked. Adaptive tuning of the number of particles and more stable convergence
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Fixed rare case where conditional MVN would break
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Fixed bug in predict on joint models
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Suppressed unwanted print statements in DDM estimation/prediction
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Added more checks to a wide array of functions to ensure proper input format
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Added a website with vignettes, changelog and a reference
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Added
run_sbc()function to perform simulation-based calibration for a design -
Added
prior_help()to get more information on the prior for a certaintype -
Changed DDM implementation, which is faster and more accurate
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Bridge sampling now also works for
type = "blocked"
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Made bridge sampling for inverse-gamma and inverse-wishart more robust
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Made
prior()function work more generally