unusual_prevalence_region: unusual.prevalence.region
In Hackout2/mapData: Tools to help with mapping outbreak data

Description Usage Arguments

Calculating the p-value testing whether a particular region has unusual prevalence compared to the overall mean using leave-one-out crossvalidation. This means that the overall mean is computed leaving out the data from the region being tested. if a population dataset is supplied, Fisher's exact test is used to calculate the p-value. If no population data is supplied, as null hypothesis Poisson distributed number of cases per region is assumed.

1	unusual_prevalence_region(data, pops, region.head, region.i)

`data`	a dataframe containing the number of cases and total population for all regions in the dataset.
`pops`	dataframe containing the region ID in the first and the population size for each region in the dataset in the second column.
`region.head`	variable name of the incidence column in data.
`region.i`	ID of the region being tested.