calmr: Canonical Associative Learning Models and their Representations (original) (raw)
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: | 0.8.1 |
|---|---|
| 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: | 2025-09-08 |
| DOI: | 10.32614/CRAN.package.calmr |
| Author: | Victor Navarro [aut, cre, cph] |
| Maintainer: | Victor Navarro |
| 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.html , <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) |
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