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