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@@ -9,19 +9,26 @@ by Filippo Ferrari, Jesse Alexander and Peggy Seriès (2023).
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- R version 3.6.3
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- hBayesDM version 1.2.1
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- Stan version 2.21.7
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- HDDM version 0.8.0 (and python 3.6 for it)
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# Data
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-`data_anx_gad7_prior.csv` contains the individual demographic and fitted parameters for the data split according to a GAD-7 score median split of the data.
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-`data_anx_gad7_prior_hddm.csv` is the same as`data_anx_gad7_prior.csv` but with the HDDMs parameter estimates from the `atvz` hddm model included.
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-`data_single_prior.csv` contains the individual demographic and fitted parameters for the data fitted using a single prior encompassing all participants.
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-`hbayesdm_data` contains the individual choice data processed to be used by hBayesDm.
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# JASP
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The JASP file contains the entire statistical analysis reported in the paper.
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`data_anx_gad7_prior_hddm.jasp` contains the statistical analysis of the HDDMs parameter estimates.
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# R
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The `fit_all.r` script fits all hBayesDm models used in the paper.
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It reports MCMC fitting checks, models comparison and reproduces fig.3 in the paper.
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It reports MCMC fitting checks, models comparison and reproduces fig.2 in the paper.
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# HDDMs
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The `fit_all.py` script fits all the HDDMS models used in the paper.
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The `analysis_` and `winning_model_atvz` notebooks contain the analysis on the HDDMs parameter estimates.
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