EMC2 3.2.1

Bug fix

• Added a warning that in hierarchical models, using map = TRUE in functions like map = TRUE or map = TRUE does not return the population-level marginal mean and variances on the original scale for group-level parameters. See issue #119

EMC2 3.2.0

New features

• group_design specification (tutorial coming up)

• trends specification (tutorial also coming up)

• broader continuous covariates support with map = TRUE

• fMRI joint modelling (tutorial on https://osf.io/preprints/psyarxiv/rhfk3_v1)

• Made changes to how lR was used in compressed likelihood for race models. Run update2version to reuse older samples

Bug fixes

• Made legend including or excluding more flexible for plot_cdf, plot_density and plot_stat

EMC2 3.1.1

New features

• 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

• added probit/SDT model for bimanual choices

Bug fixes

• Rare bug in sampling removed

• Small bug fixes in plot_data to make it more flexible

• cleared up argumentation of run_emc/fit

EMC2 3.1.0

New features

• model_averaging function, which allows you to compare evidence for an effect across a set of models

Bug fixes

• Small hotfix in which creating proposals and the start of burn would sometimes fail for large number of subjects

• Patched up old error in which model bounds weren’t considered in data generation

• Fixed error in which compare_subject would return IC for whole dataset for every subject.

EMC2 3.0.0

New features

• IMPORTANT: to keep your old samples compatible with current EMC2, run update2version()

• IMPORTANT: Design and prior are now also S3 methods with their own S3 classes, see EMC2 paper

• plot_fit is deprecated and has branched of into plot_density, plot_cdf and plot_stat

• sampled_p_vector is deprecated and is now named sampled_pars

• Added a design_plot function, which makes a plot of the proposed accumulation process

• Sampling is completely reworked. Adaptive tuning of the number of particles and more stable convergence

Bug Fixes

• Fixed rare case where conditional MVN would break

• Fixed bug in predict on joint models

• Suppressed unwanted print statements in DDM estimation/prediction

• Added more checks to a wide array of functions to ensure proper input format

EMC2 2.1.0

New features

• Added a website with vignettes, changelog and a reference

• Added run_sbc() function to perform simulation-based calibration for a design

• Added prior_help() to get more information on the prior for a certain type

• Changed DDM implementation, which is faster and more accurate

• Bridge sampling now also works for type = "blocked"

Bug Fixes

• Made bridge sampling for inverse-gamma and inverse-wishart more robust

• Made prior() function work more generally