Description
Canonical Associative Learning Models and their Representations.
Description
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.
README.md
calmr
Canonical Associative Learning Models and their Representations
Installing the latest stable version
You may install the latest stable version from CRAN:
install.packages("calmr")
Installing the latest version
If you are feeling more daring, you can install the latest version of the package. You will need devtools to install this package from GitHub.
install.packages("devtools")
devtools::install_github("victor-navarro/calmr")
If you managed to build the vignettes, there's a vignette showing the basics of the package. (Worry not, the package's website also has it).
vignette("calmr_basics", package = "calmr")
If you want to do some simulations using the companion app, you must install the calmr.app package and then launch the app.
devtools::install_github("victor-navarro/calmr.app")
calmr.app::launch_app()
Try the online Shiny app
If you want to check the app without committing to an install, you can check it out here (be wary: the server might have run out of the free monthly quota).