Does basic checks for reported data and delay distribution, front pads, and makes AR extrapolation.
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
)An integer vector of reported cases.
A positive vector that sums to one, which describes the delay distribution.
An integer number of AR steps after last observation.
An integer number of AR samples.
Seed for RNG.
An integer number of days used to fit linear model on tail to be used as a mean for AR extrapolation.
An integer for initial number of 0's before first observation.
A positive scalar for extrapolation slope shrinkage prior precision.
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