data_processing: Data processing wrapper

In incidental: Implements Empirical Bayes Incidence Curves

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

incidental documentation built on Sept. 16, 2020, 5:07 p.m.