calmr: Canonical Associative Learning Models and their Representations

Implementations of canonical associative learning models, with tools to run experiment simulations, estimate model parameters, and compare model representations. Experiments and results are represented using S4 classes and methods.

Version: 0.7.0
Depends: R (≥ 3.5)
Imports: data.table, future, future.apply, GA, ggnetwork, ggplot2, grid, lifecycle, methods, network, patchwork, progressr, rlang, stats, tools, utils
Suggests: DiagrammeR, knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2025-05-11
DOI: 10.32614/CRAN.package.calmr
Author: Victor Navarro [aut, cre, cph]
Maintainer: Victor Navarro <navarrov at cardiff.ac.uk>
BugReports: https://github.com/victor-navarro/calmr/issues
License: GPL (≥ 3)
URL: https://github.com/victor-navarro/calmr, https://victornavarro.org/calmr/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: calmr results

Documentation:

Reference manual: calmr.pdf
Vignettes: ANCCR (source, R code)
HD2022 (source)
MAC1975 (source)
PKH1982 (source)
RAND (source)
RW1972 (source)
SM2007 (source)
TD (source)
Getting started with calmr (source, R code)
calmr_app (source, R code)
calmr_fits (source, R code)
directional_models (source, R code)
heidi_similarity (source, R code)
model_parameters (source, R code)
parallelism_in_calmr (source, R code)
using_time_models (source, R code)

Downloads:

Package source: calmr_0.7.0.tar.gz
Windows binaries: r-devel: calmr_0.6.1.zip, r-release: calmr_0.7.0.zip, r-oldrel: calmr_0.6.1.zip
macOS binaries: r-release (arm64): calmr_0.7.0.tgz, r-oldrel (arm64): calmr_0.7.0.tgz, r-release (x86_64): calmr_0.7.0.tgz, r-oldrel (x86_64): calmr_0.7.0.tgz
Old sources: calmr archive

Linking:

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