apply.always.absent.null: Always Absent Null
In akeyel/dfmip: Disease Forecast Model Intercomparison Project

apply.always.absent.null

R Documentation

Always Absent Null

Make predictions of 0 for every location. Does not really warrant a stand-alone function, but done to be parallel to the other functions

apply.always.absent.null(
  train.data,
  target.year,
  n.draws = 1,
  draw.vec = c("DRAW_0001")
)

`train.data`	Training data to be used to set up the always absent null. Must have a location field with locations
`n.draws`	the number of draws per location. n.draws will not change the outcome, as this is deterministic, but it be used to change the structure of the matrix and make the output parallel to that of the other functions.