The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

eam 1.2.0

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

eam 1.1.0

• 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.

eam 1.0.1

• Initial release of this package.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.