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: 0.6.1
Depends: R (≥ 3.5)
Imports: data.table, future, future.apply, GA, ggnetwork, ggplot2, grid, methods, network, patchwork, progressr, rlang, stats
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2024-03-14
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: HD2022
MAC1975
PKH1982
RAND
RW1972
SM2007
calmr_app
calmr_basics
calmr_fits
heidi_similarity
parallelism_in_calmr
using_time_models

Downloads:

Package source: calmr_0.6.1.tar.gz
Windows binaries: r-prerel: calmr_0.6.1.zip, r-release: calmr_0.6.1.zip, r-oldrel: calmr_0.6.1.zip
macOS binaries: r-prerel (arm64): calmr_0.6.1.tgz, r-release (arm64): calmr_0.6.1.tgz, r-oldrel (arm64): calmr_0.6.1.tgz, r-prerel (x86_64): calmr_0.6.1.tgz, r-release (x86_64): calmr_0.6.1.tgz

Linking:

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