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Repository for Comparing the Accuracy of Three Predictive Information Criteria for Bayesian Linear Multilevel Model Selection

  • run_CC/ contains scripts that ran the simulation on the Compute Canada's Beluga cluster
  • studyX contains all data and code for studies 1 and 2. Within:
    • data/ contains the raw data from each (144) simulation cells and scripts to parse these data.
      • raw_data/ contains the raw .rds files
      • conds_with_var.csv is the design matrix.
      • fits_summary.rds is the summarized output from raw_data/, parsed using parse_output_nested.R
    • figs/ contains figures generated by main.R. Should be self-explanatory.
    • out/ contains output generated by main.R. Should be self-explanatory.
    • mainX contains the R code to analyze the data.
  • supplemental contains supplemental analyses, such as the scripts and results from the small parameter recovery study ran to confirm that simulated data was correct. See main text for more information.
  • customcodeexamples contains custom stan code to illustrate conditional and marginal estimation of MLMs

For any comments or questions, contact seandamiandevine@gmail.com

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Data and code repository for Linear Multilevel Bayesian Regression Selection: Comparing Three Predictive Information Criteria

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  • R 91.8%
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