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R package for running and fitting cross-situational word learning models to data.
To install the latest development version:
# install.packages("devtools")
devtools::install_github("kachergis/XSLmodels")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.
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.