run.null.models: Generate null models based on mean values
In akeyel/dfmip: Disease Forecast Model Intercomparison Project

run.null.models

R Documentation

Generate null models based on mean values

Description

Create simple null models for comparison

Usage

run.null.models(
  forecast.targets,
  forecasts.df,
  forecast.distributions,
  human.data,
  week.id,
  weekinquestion,
  n.draws,
  point.estimate,
  analysis.locations,
  mosq.data = NA,
  population.df = NA,
  model.name = "NULL.MODELS"
)

Arguments

`forecast.targets`	See `dfmip.forecast`
`forecasts.df`	See `dfmip.forecast`
`forecast.distributions`	See `dfmip.forecast`
`human.data`	See `dfmip.forecast`
`week.id`	See `dfmip.forecast`
`weekinquestion`	See `dfmip.forecast`
`n.draws`	The number of draws for the forecast distributions. Should be 1 if a point estimate is used, otherwise should be a large enough number to adequately represent the variation in the underlying data
`point.estimate`	Whether a single point estimate should be returned for forecast distributions representing the mean value. Otherwise past years are sampled at random.
`analysis.locations`	locations to include in the analysis. This may include locations with no human cases that would otherwise be dropped from the modeling.
`mosq.data`	Only required if a mosquito output is among the forecast targets. See `dfmip.forecast`
`population.df`	A data frame with locations (counties) and their populations. A column labeled SPATIAL should contain the county/location information, while population should be in a TOTAL_POPULATION column. Only required if incidence calculations are desired.
`model.name`	The name of the model to use in forecasts.df and forecast.distributions