This is the same as the last PR, but without the columns of Twitter data on the annotations.
simple R code to compute co-annotation counts and display like a confusion matrix and report marginal probabilities per category
annotation data in long format .csv; coding standard in .csv
Stan code for the Dawid-Skene model with mixed panel data (not every annotator needs to label every item exactly once) and fixed priors (because there are so few annotators)
This is the same as the last PR, but without the columns of Twitter data on the annotations.
simple R code to compute co-annotation counts and display like a confusion matrix and report marginal probabilities per category
annotation data in long format .csv; coding standard in .csv
Stan code for the Dawid-Skene model with mixed panel data (not every annotator needs to label every item exactly once) and fixed priors (because there are so few annotators)
R code to fit the Dawid-Skene model to the data