Repository for the data, reanalyses, and computational modeling presented in: Popov, V. & Reder, L. (2018). Frequency Effects on Memory: A Resource-Limited Theory. PsyArXiv. http://doi.org/10.17605/OSF.IO/DSX6Y.
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.Rproj.user
analyses
data
materials
models
output
sac
.Rhistory
.gitignore
123-prior-item-effects.Rproj
README.md
popov_reder_2018_frequency_modeling_preprint.pdf

README.md

Repository for the data, reanalyses, and computational modeling presented in:

Popov, V. & Reder, L. (2018). Frequency Effects on Memory: A Resource-Limited Theory. PsyArXiv. http://doi.org/10.17605/OSF.IO/DSX6Y.

  1. All behavioral analyses stored in 'analyses/' are run with R within RStudio. They run with paths relative to the main parent folder. Most straightforward way to run them is to open the 123-prior-item-effects.Rproj file, which should set the correct working directory.
  2. All behavioral analyses operate on the .csv data files stored in 'data/'
  3. The 'sac/' folder contains the main Python code (Python 3) for the SAC infrastructure. It is loaded as a python package when building individual models for each study
  4. The individual models for each study are under 'models/'
  5. The sac models load the behavioral data stored in 'data/formatted_for_modeling', which contains the same dataset as 'data/', but with some additions necessary for performing the model fitting procedures.