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As noted by @ben18785 in #83, the data simulation function generate_sim_data in seroprevalence_data.R adds unnecessary information to the output dataset, namely tsur, test , antibody and survey_label .
This was done for the function extract_seromodel_summary to work for simulated datasets. However, this information shouldn't be mandatory for either simulated nor real datasets, so we need to restructure this function for it to be optional.
The text was updated successfully, but these errors were encountered:
As noted by @ben18785 in #83, the data simulation function
generate_sim_data
inseroprevalence_data.R
adds unnecessary information to the output dataset, namelytsur
,test
,antibody
andsurvey_label
.This was done for the function
extract_seromodel_summary
to work for simulated datasets. However, this information shouldn't be mandatory for either simulated nor real datasets, so we need to restructure this function for it to be optional.The text was updated successfully, but these errors were encountered: