bad_classification | Detect poor performers |
bin_trials | Split data_$trial into n bins. |
category_boundaries | Get the category boundary based on an glmer fit and model... |
excludes | Subjects excluded from analysis (Experiment 1) |
exclusions | Apply exclusion criteria |
lhood_to_classification | Convert category likelihoods into categorization function |
load_and_parse | These are functions for pre-processing raw data, including... |
make_prediction_data | Data for prediction |
mer_model_matrix | The missing method |
mod_param_init | create initializer function from data with sensible parameter... |
mutate_for_lmer | Prepare for 'glmer' |
par_stan | Run stan chains in parallel |
plot_category_bounds | Plot category boundaries with error linerange |
plot_class_curve | Plot classification curve from data |
predict_and_plot | Visualize model fit |
predict_se | Fixed effect prediction SEs |
prior_stats | Some reasonable priors on category means/variances |
repeat_subjects | Detect repeat subjects |
rescale | Scale, again |
separatemeans | Supervised/unsupervised phonetic adaptation (Experiment 2) |
separatemeans_assignments | Summary of all Experiment 2 assignments |
separatemeans_clean | Data from non-excluded assignments (Expt. 2) |
separatemeans_excluded | Data from excluded assignments (Expt. 2) |
stats_to_lhood | Convert data frame of category statistics into likelihoods |
str_replace_multi | Multiple string substitution |
supunsup | Supervised/unserupvised phonetic adaptation (Experiment 1) |
supunsup_clean | Non-excluded assignments (Expt. 1) |
supunsup_excluded | Data from excluded assignments (Expt. 1) |
supunsup_to_stan_conj | convert data to stan input format for the conj_*.stan models |
supunsup_to_stan_mog | convert data to stan input format for the mog_*.stan models |
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