release prep

.gitignore

@@ -8,3 +8,4 @@ scripts/data_nofilter.tsv
 scripts/models/*.rds
 scripts/R_groundhog/
 scripts/groundhog_libraries_2023-07-17/
+*.sh

README.md

@@ -60,6 +60,6 @@ Now you are in a folder full of R-Scripts. The first script `00_setup.R` include
 Rscript 00_setup.R
 ```
 
-Please not that the two scripts which run the brms-model are currently commented out. This has a simple reason: Running them takes several days. If you want to re-run the model, please go to the respective script and run it from there, or un-comment the line in `00_setup.R`. We provide the fitted model within our OSF-repository [here](https://osf.io/tc9zx/?view_only=a658d5da64a7431f87d993b71a8e184c) so that you do not need to re-run the model.
+Please not that the two scripts which run the brms-model are currently commented out. This has a simple reason: Running them takes several days. If you want to re-run the model, please go to the respective script and run it from there, or un-comment the line in `00_setup.R`. We provide the fitted model within our OSF-repository [here](https:doi.org/10.17605/OSF.IO/TC9ZX) so that you do not need to re-run the model.
 
 If you want to run code from within the individual R-files, please set the working directory to the `scripts`-folder so that all the code is run correctly.

scripts/03_PriorModel.R

@@ -110,7 +110,7 @@ prior_box <- ppc_boxplot(raw_durations, priorsim_durations[4:8, ])  +
   theme(legend.position="none") +
   labs(title="Real and simulated data")
 
-prior_overlay <- ppc_dens_overlay(raw_durations, priorsim_durations[1:100, ], alpha=0.5, size=0.7, adjust=1) +
+prior_overlay <- ppc_dens_overlay(raw_durations, priorsim_durations[1:8, ], alpha=0.5, size=0.7, adjust=1) +
   scale_x_log10(breaks=c(2, 5, 10, 30, 100, 500, 2000, 5000), limit=c(1, 5000), name="")
 
 prior_overlay$scales$scales[[1]]$labels <- c("data", "prior")