Plausibility Analysis of Epidemiological Signals
Seed engine
Chunk a vector
Check completeness of seed and signal data
Shape component
Sliding windows
Cut into categorical differences
Epiweek start
Determine shapes
Check forecast
Check observed
Month start
Month subtraction
Pipe operator
rplanes: Plausibility Analysis of Epidemiological Signals
Coverage component
Difference component
Repeat component
Score PLANES components
Create seed
Taper component
Trend component
Zero component
Quantile boundary
Read in forecast file
Resolve resolution
rplanes explorer app launcher
Create signal object
Validate dates
Validate location
Provides functionality to prepare data and analyze plausibility of both forecasted and reported epidemiological signals. The functions implement a set of plausibility algorithms that are agnostic to geographic and time resolutions and are calculated independently then presented as a combined score.