| alph | Extract subject level summary stats from a sampler |
| arch_medians | Reshape median architecture estimates for plotting |
| arch_plot | Plot an architecture comparison barplot |
| check_env | Check the system environment variables and extract the... |
| dirichlet_mix_ll | Top level log-likelihood function that implements the... |
| extract_alpha | Extract subject level parameters from the samples |
| extract_cov | Extract group level covariances from the samples |
| extract_data | Use read_csv and bind_rows to rearrange data from JATOS file |
| extract_parameters | Extract parameters from the samples |
| extract_tmu | Extract group level parameters from the samples |
| generate_data | Generate data for one architecture for all subjects |
| get_base_filename | Create an output basename from envars list |
| get_drifts | Takes a sample tibble and rearranges it to a long df with... |
| get_estimation_data | Extract the data from a sampler object stored in an RData... |
| get_JATOS_data | Get data from a raw JSON file |
| get_samples | Load an RData file with pmwg samples for further analysis |
| get_summary | Return summary values for parameters (from... |
| known_vars | Known environment variables |
| ll_CB | Coactive Both |
| ll_FPP | First Past the Post |
| ll_IEX | Independant Exhaustive model |
| ll_IST | Independant Self Terminating |
| ll_MW | Max Winner model |
| matdf_plot | Plot matrix_to_df object using ggplot |
| matrix_to_df | Reshape a correlation matrix into a data.frame |
| mcce-package | mcce: Models of Consumer Choice Experiments |
| model_wrapper | Wrapper for individual model log likelihood function |
| names_ll | Return names of all implemented models (log likelihood... |
| order_arch_medians | Reorder architectures and subjects of medians for plotting |
| parse_JATOS_line | Parses a JATOS datafile line in 2020 Pref SFT format |
| pipe | Pipe operator |
| plot_summary | Plot subject and group level summaries of estimates |
| print_JATOS_line | Print a problem JATOS datafile line if JSON parsing failed |
| read_expyriment_data | Read data generated by the Expyriment python library |
| reformat | Reformat data from the Expyriment file format to a useful... |
| rll_CB | Coactive Both random samples |
| rll_FPP | First Past the Post random samples |
| rll_IEX | Independant Exhaustive random samples |
| rll_IST | Independant Self Terminating random samples |
| rll_MW | Max Winner random samples |
| rmodel_wrapper | Wrapper for individual model log likelihood function |
| select_ll | Select log likelihood function |
| simple_model_wrapper | Simple wrapper for integrate testing |
| single_model_ll | Top level log-likelihood function that implements the single... |
| tmu | Extract group level summary stats from a sampler |
| trace_plot | Plot a trace for a subject/parameter combination |
| transform_pars | Transforms parameters for specific models/ |
