Replication package for "Stable reliability diagrams for probabilistic classifiers" (doi:10.1073/pnas.2016191118)

Timo Dimitriadis, Tilmann Gneiting, Alexander I. Jordan

Contents:

• Version 0.1.1 of the R package 'reliabilitydiag' in the root directory
• Replication material and code for the article in the directory "replication_paper"
• Replication material and code for the supplement in the directory "replication_supplement"
• Directory "data-raw" contains raw data on daily precipitation at Niamey, of the Survey of Professional Forecasters (SPF; forecasts and observations), on solar flares (doi:10.7910/DVN/HYP74O), and recidivism of defendants in Broward County, Florida (doi:10.7910/DVN/KT20FE). It further contains R files that transforms the raw data into the format used for analysis.
• Directory "data" contains the transformed raw data in .csv and .rda format.

References

Bansak, Kirk, 2018, "Replication Materials for: Can non-experts really emulate statistical learning methods?", https://doi.org/10.7910/DVN/KT20FE, Harvard Dataverse, V1

Leka, K. D.; Park, Sung-Hong, 2019, "A Comparison of Flare Forecasting Methods II: Data and Supporting Code", https://doi.org/10.7910/DVN/HYP74O, Harvard Dataverse, V1, UNF:6:yz1noMojlzL7SZM+9flXhQ== [fileUNF]