Code and data files corresponding to the manuscript 'Compromising improves forecasting'

Dardo Ferreiro 1c33f29bc0 Update 'README.md' před 11 měsíci
data b309c53caf Upload files to '' před 1 rokem
BrierScoreCalc.m b309c53caf Upload files to '' před 1 rokem
GJP_analysis_forpaper3.m b309c53caf Upload files to '' před 1 rokem
GJP_analysis_forpaper_3afterrevision.m 40147ed134 Upload files to '' před 1 rokem
GJP_data_initial_processing1.m b309c53caf Upload files to '' před 1 rokem
GJP_processing_for_paper2.m b309c53caf Upload files to '' před 1 rokem
Inverse_BrierScoreCalc.m b309c53caf Upload files to '' před 1 rokem
LICENSE 92846c310b Initial commit před 1 rokem
README.md 1c33f29bc0 Update 'README.md' před 11 měsíci
median_ci.m b309c53caf Upload files to '' před 1 rokem

README.md

GJP_revisited

Code and data files corresponding to the manuscript 'Compromising improves forecasting'.

Ferreiro DN, Deroy O, Bahrami B. 2023. Compromising improves forecasting. R. Soc. Open Sci. 10:221216. https://doi.org/10.1098/rsos.221216

The matlab .m files include the 3 main scripts needed for processing the original God Judgment Project Data and plotting the results of our manuscript (scripts with suffix 1, 2 and 3), and necessary functions for them to run (e.g. to calculate Brier scores).

The data files include the processed data, as well as the original GJP data which can be found here: https://doi.org/10.7910/DVN/BPCDH5