data_processing {incidental}

Data processing wrapper

Description

Does basic checks for reported data and delay distribution, front pads, and makes AR extrapolation.

Usage

data_processing(
  reported,
  delay_dist,
  num_ar_steps = 10,
  num_ar_samps = 100,
  seed = 1,
  linear_tail = 14,
  front_pad_size = 10,
  extrapolation_prior_precision = 2
)

Arguments

reported

An integer vector of reported cases.

delay_dist

A positive vector that sums to one, which describes the delay distribution.

num_ar_steps

An integer number of AR steps after last observation.

num_ar_samps

An integer number of AR samples.

seed

Seed for RNG.

linear_tail

An integer number of days used to fit linear model on tail to be used as a mean for AR extrapolation.

front_pad_size

An integer for initial number of 0's before first observation.

extrapolation_prior_precision

A positive scalar for extrapolation slope shrinkage prior precision.

Value

A list with elements:

• extrap = a matrix of size (num_ar_samps x n + num_ar_steps + front_pad_size)

• original = a vector of logicals for whether in original time series range