apply.ar1: Apply Autoregressive 1 model

In akeyel/dfmip: Disease Forecast Model Intercomparison Project

Apply Autoregressive 1 model

Description

Apply an Autoregressive 1 model assuming a normal distribution (with negative values reclassified to be 0)

Usage

apply.ar1(train.data, target.year, n.draws, draw.vec)

Arguments

train.data	Training data to be used to calculate the mean values. Must have a location field with locations, and a count field with number of cases.
target.year	The year for the prediction. Included in the output data frame to indicate the target year, but otherwise unused
n.draws	The number of probabilistic draws to include in the data matrix. Retained here only for consistency in formatting with the probabilistic methods.
draw.vec	A vector of column names for the probabilistic draws.

Value

out.df A data frame containing the predictions for each location for the target year

akeyel/dfmip documentation built on Sept. 3, 2022, 1:26 a.m.