Changes in version 1.2.2 (2026-05-13) Maintenance - Resubmit to CRAN with updated build timestamp. Changes in version 1.2.1 Maintenance - Move pbapply and abc from Suggests to Imports so they are installed with the package, which improves library installation experience and reduces confusion. Changes in version 1.2.0 (2026-03-29) New Features - ABI (Approximate Bayesian Inference) Module: Complete neural network-based parameter estimation workflow - abi_train(): Train neural estimators using simulation-based inference - abi_estimate(): Obtain point estimates from trained models - abi_assess(): Assess trained estimator performance - abi_sample_posterior(): Sample from posterior distribution - Enhanced build_abi_input() with theta and Z outputs, test set support - ABC helpers: Add abc_abc() and abc_cv() wrappers for ABC fitting and cross-validation - Posterior predictive workflows: Add abc_posterior_predictive_check(), abi_posterior_predictive_check(), and update_config_from_posterior() for teaching-oriented posterior simulation workflows - Visualization: - New plot_cv_recovery() methods for ABI models (eam_abi_assess and eam_abi_posterior_samples classes) - Update posterior RT and accuracy plots to compare simulated and observed data more directly - plot_rt() now displays simulated RTs as densities and observed RTs as histograms - Posterior summarization: summarise_posterior_parameters() for aggregating posterior samples Infrastructure - Julia environment integration via init_julia_env() for neural network backend - Add bundled Julia project files under inst/julia/env/ for ABI setup - Add tibble dependency for improved output formatting - Improve simulation routing, including LFM support and updated LBA routing Documentation - Add inst/CITATION file with pre-print citation information - Add and expand examples for ABC wrappers, posterior predictive helpers, and simulation-config updates - Add ABI and ABC demos and refresh tutorial materials - Various documentation improvements and formatting fixes Changes in version 1.1.0 (2026-02-09) - Add build_abi_input function to create input for ABI anlysis from EAM simulation output. - Simulation allow more than 1024 data chunks/arrow partitions. Now, it depends on the hard limit of the arrow library and the file system. - Fix summarise_by() to handle invalid column names returned by summary functions (e.g., quantile functions returning "90%", "95%"). Now uses vctrs::vec_as_names() for proper name repair. - By convention of ABC, change the prior of plot_posterior_parameters to the hist graph. - By convention of ABC, change the posterior of plot_rt to reflect the median RT within each condition. repo - Add documentation with pkgdown. Changes in version 1.0.1 (2026-01-17) - Initial release of this package.