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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.

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.
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