R package for running and fitting cross-situational word learning models to data.
Installation
To install the latest development version:
# install.packages("devtools")
devtools::install_github("kachergis/XSLmodels")Usage
See what models are available:
models <- show_models()See what datasets are available:
datasets <- show_datasets()Get model fits across all included datasets, for a given model:
group_fit_uncfam <- get_group_model_fit("uncfam")Get cross-validated (5-fold) model fit:
cross_val_fit_uncfam <- get_crossvalidated_model_fit("uncfam")Datasets held out from those fits – for testing how well a fitted model generalizes – are listed, with how to score each, in xsl_holdout_datasets.
For more details, see this vignette.
Models can also be run and scored against gold-standard lexicons from naturalistic child-directed speech corpora (rather than fit to lab experiment accuracy) – see the corpora vignette.