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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: 0.5.0
Depends: R (≥ 4.1.0)
Imports: DEoptim, dplyr, ggplot2, purrr, rlang, tibble, tidyr
Suggests: gganimate, knitr, rmarkdown, testthat (≥ 3.0.0), viridis
Published: 2026-11-10
DOI: 10.32614/CRAN.package.XSLmodels
Author: George Kachergis ORCID iD [aut, cre], Mika Braginsky ORCID iD [aut], Michael C. Frank ORCID iD [aut] (affiliation: Stanford University)
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)
Writing your own model or dataset (source, R code)
Comparing models: SSE, likelihood and cross-validation (source, R code)
Nested comparisons with uncfam_general() (source, R code)

Downloads:

Package source: XSLmodels_0.5.0.tar.gz
Windows binaries: r-devel: XSLmodels_0.4.0.zip, r-release: XSLmodels_0.4.0.zip, r-oldrel: XSLmodels_0.4.0.zip
macOS binaries: r-release (arm64): XSLmodels_0.5.0.tgz, r-oldrel (arm64): XSLmodels_0.5.0.tgz, r-release (x86_64): XSLmodels_0.4.0.tgz, r-oldrel (x86_64): XSLmodels_0.4.0.tgz
Old sources: XSLmodels archive

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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