XSLmodels: Run and Optimize Cross-Situational Word Learning Models

A collection of cognitive models of cross-situational word learning, together with methods and datasets for fitting and cross-validating them against experimental and corpus data, and for plotting the results.

Version: 0.4.0
Depends: R (≥ 4.1.0)
Imports: DEoptim, dplyr, ggplot2, purrr, rlang, tibble, tidyr
Suggests: gganimate, knitr, rmarkdown, testthat (≥ 3.0.0), viridis
Published: 2026-10-18
DOI: 10.32614/CRAN.package.XSLmodels (may not be active yet)
Author: George Kachergis ORCID iD [aut, cre], Mika Braginsky ORCID iD [aut], Kevin Liang [aut]
Maintainer: George Kachergis <george.kachergis at gmail.com>
BugReports: https://github.com/kachergis/XSLmodels/issues
License: GPL (≥ 3)
URL: https://www.kachergis.com/XSLmodels/, https://github.com/kachergis/XSLmodels
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: XSLmodels results

Documentation:

Reference manual: XSLmodels.html , XSLmodels.pdf
Vignettes: Importing Cross-situational Datasets and Fitting Models (source, R code)
Running and fitting models on naturalistic corpora (source, R code)

Downloads:

Package source: XSLmodels_0.4.0.tar.gz
Windows binaries: r-devel: XSLmodels_0.4.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): XSLmodels_0.4.0.tgz, r-oldrel (arm64): XSLmodels_0.4.0.tgz, r-release (x86_64): XSLmodels_0.4.0.tgz, r-oldrel (x86_64): XSLmodels_0.4.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=XSLmodels to link to this page.